Kooperativer Bibliotheksverbund

UID:

Format: 221 S., 3 Bl. Abb. 8"

Language: Undetermined

UID:

Format: 221 S. : , Ill.

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures

Keywords: Drama ; Kain und Abel

UID:

Format: 1 online resource (410 pages)

ISBN: 9780191567551

Content: The Ends of Life examines the ways in which English men and women between the early sixteenth and late eighteenth centuries sought to lead fulfilling lives. In doing so it illuminates the central values of the period, while at the same time throwing incidental light on some of the perennial problems of human existence.

Content: Intro -- Contents -- List of Plates -- List of Figures -- Introduction -- 1. FULFILMENT IN AN AGE OF LIMITED POSSIBILITIES -- The Idea of Fulfilment -- The Constraints of the Age -- New Aspirations -- Individuality -- 2. MILITARY PROWESS -- Arms and the Man -- The Waning of the Military Ideal -- Appendix: Monarchs and Military Prowess -- 3. WORK AND VOCATION -- The Primal Curse? -- The Rewards of Labour -- 4. WEALTH AND POSSESSIONS -- Goods and the Social Order -- Possessions and their Meaning -- From Hostility to Acceptance -- Wealth as Fulfilment? -- 5. HONOUR AND REPUTATION -- Precedence and Superiority -- Aristocratic Honour -- The Honour of the People -- Credit and Shame -- The Decline of Honour? -- 6. FRIENDSHIP AND SOCIABILITY -- The Idea of Friendship -- Male and Female Friends -- Marriage and Children -- Sociability -- 7. FAME AND THE AFTERLIFE -- Heaven and Hell -- Posthumous Fame -- The Quest for Immortality -- Inexorable Oblivion? -- Note on References -- Abbreviations -- Notes -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z.

Note: Description based on publisher supplied metadata and other sources

Additional Edition: ISBN 9780199247233

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780199247233

Additional Edition: Print version The Ends of Life : Roads to Fulfilment in Early Modern England

Language: English

Subjects: History

Keywords: Großbritannien ; Lebensphilosophie ; Selbstverwirklichung ; Geschichte 1600-1800

URL: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=453649

URL: Volltext

URL: Volltext

UID:

Format: 1 online resource (294 pages) : , digital, PDF file(s).

Edition: First edition.

ISBN: 1-009-00770-X , 1-009-00847-1 , 1-009-00676-2

Content: Multivariate biomarker discovery is increasingly important in the realm of biomedical research, and is poised to become a crucial facet of personalized medicine. This will prompt the demand for a myriad of novel biomarkers representing distinct 'omic' biosignatures, allowing selection and tailoring treatments to the various individual characteristics of a particular patient. This concise and self-contained book covers all aspects of predictive modeling for biomarker discovery based on high-dimensional data, as well as modern data science methods for identification of parsimonious and robust multivariate biomarkers for medical diagnosis, prognosis, and personalized medicine. It provides a detailed description of state-of-the-art methods for parallel multivariate feature selection and supervised learning algorithms for regression and classification, as well as methods for proper validation of multivariate biomarkers and predictive models implementing them. This is an invaluable resource for scientists and students interested in bioinformatics, data science, and related areas.

Note: Title from publisher's bibliographic system (viewed on 30 May 2024). , Cover -- Half-title -- Title page -- Imprints page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Part I Framework for Multivariate Biomarker Discovery -- 1 Introduction -- 1.1 Biomarkers and Multivariate Biomarkers -- 1.2 Biomarkers and Personalized Medicine -- 1.3 Biomarker Studies -- 1.4 Basic Terms and Concepts -- 2 Multivariate Analytics Based on High-Dimensional Data: Concepts and Misconceptions -- 2.1 Introduction -- 2.2 High-Dimensional Data and the Curse of Dimensionality -- 2.3 Multivariate and Univariate Approaches -- 2.4 Supervised and Unsupervised Approaches -- 3 Predictive Modeling for Biomarker Discovery -- 3.1 Regression versus Classification -- 3.2 Parametric and Nonparametric Methods -- 3.3 Predictive Modeling for Multivariate Biomarker Discovery -- 3.3.1 Additional Data Evaluation and Preparation -- 3.3.2 Training and Test Sets -- 3.3.3 Parallel Multivariate Feature Selection Experiments -- 3.3.4 Selecting an Optimal Multivariate Biomarker -- 3.3.4.1 One-Standard-Error Method -- 3.3.4.2 Tolerance Method -- 3.3.4.3 Simultaneous Evaluation of Several Performance Metrics -- 3.3.5 Hyperparameters -- 3.3.6 Building, Tuning, and Validating Predictive Models Based on the Optimal Multivariate Biomarker -- 3.3.7 Testing Predictive Models on the Test Data -- 3.4 Bias-Variance Tradeoff -- 3.4.1 Notes on Overparameterization -- 3.5 Screening Biomarkers, Segmentation Models, and Biomarkers for Personalized Medicine -- 3.6 Committees of Predictive Models -- 3.6.1 Committees of Regression Models -- 3.6.2 Committees of Classification Models -- 4 Evaluation of Predictive Models -- 4.1 Methods of Model Evaluation -- 4.1.1 Testing the Final Predictive Model -- 4.1.1.1 Independent Test Data Set -- 4.1.1.2 Holdout Set -- 4.1.2 Evaluating Intermediate Models -- 4.1.2.1 Internal Validation (Improper). , 4.1.2.2 Proper, that is, External Validation -- 4.1.3 Resampling Techniques -- 4.1.3.1 Bootstrapping -- 4.1.3.2 Cross-Validation -- 4.2 Evaluating Regression Models -- 4.2.1 Metrics of Fit to the Training Data -- 4.2.2 Metrics of Performance on Test Data -- 4.3 Evaluating Classifiers Differentiating between Two Classes -- 4.3.1 Confusion Matrix -- 4.3.2 Basic Performance Metrics for Binary Classifiers -- 4.3.3 Proper and Improper Interpretation of Sensitivity and Specificity -- 4.3.4 Other Important Performance Metrics for Binary Classifiers -- 4.3.5 ROC Curves and the Area Under the ROC Curve -- 4.3.6 A Few More Metrics of Performance -- 4.3.6.1 Balanced Accuracy -- 4.3.6.2 F1-Measure -- 4.3.6.3 Kappa -- 4.4 Evaluating Multiclass Classifiers -- 4.4.1 Classifying All Classes Simultaneously -- 4.4.2 Multistage Approach to Multiclass Classification -- 4.4.3 One-Versus-One Approach -- 4.4.4 One-Versus-Rest Approach -- 4.5 More on Incorporating Misclassification Costs -- 4.5.1 Cost Matrix -- 4.5.2 Cost-Sensitive Classification -- 5 Multivariate Feature Selection -- 5.1 Introduction -- 5.2 General Characteristics of Feature Selection Methods -- 5.2.1 Feature Selection Search Models -- 5.2.2 Feature Selection Search Strategies -- 5.3 Multiple Feature Selection Experiments -- 5.3.1 Design of a Feature Selection Experiment -- 5.3.2 Feature Selection with Recursive Feature Elimination -- 5.3.3 Feature Selection with Stepwise Hybrid Search -- 5.3.3.1 Basic T2-Driven Hybrid Feature Selection -- 5.3.3.2 Extensions to the Basic T2-Driven Hybrid Feature Selection -- 5.3.3.3 Calculating T2 -- 5.4 Some Other Feature Selection Algorithms -- 5.4.1 Feature Selection with Simulated Annealing -- 5.4.2 Feature Selection with Genetic Algorithms -- 5.4.3 Feature Selection with Particle Swarm Optimization -- Part II Regression Methods for Estimation. , 6 Basic Regression Methods -- 6.1 Multiple Regression -- 6.1.1 Some Other Considerations for Multiple Regression -- 6.1.2 Issues with Multiple Regression -- 6.2 Partial Least Squares Regression -- 6.2.1 PLS1 Algorithm -- 6.2.2 PLS2 Approaches -- 6.2.3 A Note on Principal Component Regression -- 7 Regularized Regression Methods -- 7.1 Introduction -- 7.2 Ridge Regression -- 7.3 The Lasso (Least Absolute Shrinkage and Selection Operator) -- 7.3.1 Least Angle Regression for the Lasso -- 7.4 The Elastic Net -- 7.5 Notes on Lq-Penalized Least Squares Estimates -- 8 Regression with Random Forests -- 8.1 Introduction -- 8.2 Random Forests Algorithm for Regression -- 8.2.1 Splitting a Node -- 8.2.2 Modeling and Evaluation -- 8.3 Variable Importance Measures -- 9 Support Vector Regression -- 9.1 Introduction -- 9.1.1 A Snapshot of Support Vector Machines for Classification -- 9.1.2 e-Insensitive Error Functions -- 9.2 Linear Support Vector Regression -- 9.2.1 The Primal Optimization Problem for Linear SVR -- 9.2.2 The Dual Optimization Problem for Linear SVR -- 9.2.3 Linear Support Vector Regression Machine -- 9.3 Nonlinear Support Vector Regression -- Part III Classification Methods -- 10 Classification with Random Forests -- 10.1 Introduction -- 10.2 Random Forests Algorithm for Classification -- 10.2.1 Node-Splitting Criteria -- 10.2.2 Classification -- 10.3 Variable Importance -- 10.3.1 Permutation-Based Variable Importance -- 10.3.2 Impurity-Based Variable Importance -- 10.4 Notes on Feature Selection -- 11 Classification with Support Vector Machines -- 11.1 Introduction -- 11.2 Linear Support Vector Classification -- 11.2.1 The Primal Optimization Problem for Linear SVM -- 11.2.2 The Dual Optimization Problem for Linear SVM -- 11.2.3 Linear Support Vector Classification Machine -- 11.3 Nonlinear Support Vector Classification -- 11.4 Hyperparameters. , 11.5 Variable Importance -- 11.6 Cost-Sensitive SVMs -- 12 Discriminant Analysis -- 12.1 Introduction -- 12.2 Fisher's Discriminant Analysis -- 12.3 Gaussian Discriminant Analysis -- 12.4 Partial Least Squares Discriminant Analysis -- 13 Neural Networks and Deep Learning -- 13.1 Introduction -- 13.2 Network Topology -- 13.2.1 Adding the Bias -- 13.2.2 Nonlinear Activation -- 13.3 Backpropagation -- 13.3.1 Backpropagation through the Output Layer -- 13.3.2 Backpropagation through Any Number of Hidden Layers -- 13.3.3 Derivatives of Nonlinear Activation Functions -- 13.4 Classification of Medical Images: Deep Convolutional Networks -- 13.5 Deep Learning: Overfitting and Regularization -- 13.5.1 Regularization of the Loss Function -- 13.5.2 Dropout -- 13.5.3 Augmentation of the Training Data -- Part IV Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns -- 14 Multistage Signal Enhancement -- 14.1 Introduction -- 14.2 Removing Variables Representing Experimental Noise -- 14.3 Removing Variables with Unreliable Measurements -- 14.4 Determining an Optimal Size of the Biomarker and Removing Variables with No Multivariate Importance for Prediction -- 14.4.1 Determining the Optimal Size of a Multivariate Biomarker -- 14.4.2 Removing Variables with No Multivariate Importance for Prediction -- 14.4.3 The Pool of Potentially Important Variables -- 15 Essential Patterns, Essential Variables, and Interpretable Biomarkers -- 15.1 Introduction -- 15.2 Groups of Variables with Similar Patterns -- 15.3 Essential Patterns -- 15.4 Essential Variables and Interpretable Biomarkers -- 15.5 Ancillary Information -- 15.5.1 Hierarchical Clustering: A Snapshot -- 15.5.2 Self-Organizing Maps: A Snapshot -- Part V Multivariate Biomarker Discovery Studies. , 16 Biomarker Discovery Study 1: Searching for Essential Gene Expression Patterns and Multivariate Biomarkers That Are Common for Multiple Types of Cancers -- 16.1 Introduction -- 16.2 Data -- 16.3 Determining an Optimal Size of Multivariate Biomarker -- 16.4 Identifying the Pool of Potentially Important Variables -- 16.5 Identifying Essential Patterns -- 16.6 Essential Variables of the Essential Patterns -- 16.7 Building and Testing the Final Multivariate Biomarker -- 16.8 Ancillary Information -- 17 Biomarker Discovery Study 2: Multivariate Biomarkers for Liver Cancer -- 17.1 Introduction -- 17.2 Data -- 17.2.1 RNA-Seq Liver Cancer Data from The Cancer Genome Atlas -- 17.2.2 Training and Test Sets -- 17.2.3 Removing Variables Representing Experimental Noise -- 17.2.4 Low-Dimensional Visualization of the Training Data -- 17.3 Feature Selection Experiments with Recursive Feature Elimination and Random Forests -- 17.3.1 Resampling without Balancing (Substudy 1) -- 17.3.2 Resampling with Rebalancing Class Proportions (Substudy 2) -- 17.3.3 Performing Feature Selection Experiments -- 17.3.4 Results of Feature Selection Experiments -- 17.3.5 Selecting Optimal Multivariate Biomarkers -- 17.3.6 Notes on Misclassification Costs -- 17.4 Feature Selection Experiments with Recursive Feature Elimination and Support Vector Machines (Substudy 3) -- 17.5 Summary of the Three Biomarker Discovery Substudies -- 17.6 Testing the Three Final Multivariate Biomarkers and Classifiers -- References -- Index.

Additional Edition: ISBN 1-316-51870-1

Language: English

UID:

Format: 1 Online-Ressource (xxiv, 600 Seiten) , Illustrationen

ISBN: 9783030670733 , 978-3-030-67073-3

ISSN: 2194-5217 , 2194-5225

Series Statement: Springer atmospheric sciences

Content: Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.

Note: Contents 1 Introduction 1.1 Complexity of the Climate System 1.2 Data Exploration, Data Mining and Feature Extraction 1.3 Major Concern in Climate Data Analysis 1.3.1 Characteristics of High-Dimensional Space Geometry 1.3.2 Curse of Dimensionality and Empty Space Phenomena 1.3.3 Dimension Reduction and Latent Variable Models 1.3.4 Some Problems and Remedies in Dimension Reduction 1.4 Examples of the Most Familiar Techniques 2 General Setting and Basic Terminology 2.1 Introduction 2.2 Simple Visualisation Techniques 2.3 Data Processing and Smoothing 2.3.1 Preliminary Checking 2.3.2 Smoothing 2.3.3 Simple Descriptive Statistics 2.4 Data Set-Up 2.5 Basic Notation/Terminology 2.5.1 Centring 2.5.2 Covariance Matrix 2.5.3 Scaling 2.5.4 Sphering 2.5.5 Singular Value Decomposition 2.6 Stationary Time Series, Filtering and Spectra 2.6.1 Univariate Case 2.6.2 Multivariate Case 3 Empirical Orthogonal Functions 3.1 Introduction 3.2 Eigenvalue Problems in Meteorology: Historical Perspective 3.2.1 The Quest for Climate Patterns: Teleconnections 3.2.2 Eigenvalue Problems in Meteorology 3.3 Computing Principal Components 3.3.1 Basis of Principal Component Analysis 3.3.2 Karhunen–Loéve Expansion 3.3.3 Derivation of PCs/EOFs 3.3.4 Computing EOFs and PCs 3.4 Sampling, Properties and Interpretation of EOFs 3.4.1 Sampling Variability and Uncertainty 3.4.2 Independent and Effective Sample Sizes 3.4.3 Dimension Reduction 3.4.4 Properties and Interpretation 3.5 Covariance Versus Correlation 3.6 Scaling Problems in EOFs 3.7 EOFs for Multivariate Normal Data 3.8 Other Procedures for Obtaining EOFs 3.9 Other Related Methods 3.9.1 Teleconnectivity 3.9.2 Regression Matrix 3.9.3 Empirical Orthogonal Teleconnection 3.9.4 Climate Network-Based Methods 4 Rotated and Simplified EOFs 4.1 Introduction 4.2 Rotation of EOFs 4.2.1 Background on Rotation 4.2.2 Derivation of REOFs 4.2.3 Computing REOFs 4.3 Simplified EOFs: SCoTLASS 4.3.1 Background 4.3.2 LASSO-Based Simplified EOFs 4.3.3 Computing the Simplified EOFs 5 Complex/Hilbert EOFs 5.1 Background 5.2 Conventional Complex EOFs 5.2.1 Pairs of Scalar Fields 5.2.2 Single Field 5.3 Frequency Domain EOFs 5.3.1 Background 5.3.2 Derivation of FDEOFs 5.4 Complex Hilbert EOFs 5.4.1 Hilbert Transform: Continuous Signals 5.4.2 Hilbert Transform: Discrete Signals 5.4.3 Application to Time Series 5.4.4 Complex Hilbert EOFs 5.5 Rotation of HEOFs 6 Principal Oscillation Patterns and Their Extension 6.1 Introduction 6.2 POP Derivation and Estimation 6.2.1 Spatial Patterns 6.2.2 Time Coefficients 6.2.3 Example 6.3 Relation to Continuous POPs 6.3.1 Basic Relationships 6.3.2 Finite Time POPs 6.4 Cyclo-Stationary POPs 6.5 Other Extensions/Interpretations of POPs 6.5.1 POPs and Normal Modes 6.5.2 Complex POPs 6.5.3 Hilbert Oscillation Patterns 6.5.4 Dynamic Mode Decomposition 6.6 High-Order POPs 6.7 Principal Interaction Patterns 7 Extended EOFs and SSA 7.1 Introduction 7.2 Dynamical Reconstruction and SSA 7.2.1 Background 7.2.2 Dynamical Reconstruction and SSA 7.3 Examples 7.3.1 White Noise 7.3.2 Red Noise 7.4 SSA and Periodic Signals 7.5 Extended EOFs or Multivariate SSA 7.5.1 Background 7.5.2 Definition and Computation of EEOFs 7.5.3 Data Filtering and Oscillation Reconstruction 7.6 Potential Interpretation Pitfalls 7.7 Alternatives to SSA and EEOFs 7.7.1 Recurrence Networks 7.7.2 Data-Adaptive Harmonic Decomposition 8 Persistent, Predictive and Interpolated Patterns 8.1 Introduction 8.2 Background on Persistence and Prediction of Stationary Time Series 8.2.1 Decorrelation Time 8.2.2 The Prediction Problem and Kolmogorov Formula 8.3 Optimal Persistence and Average Predictability 8.3.1 Derivation of Optimally Persistent Patterns 8.3.2 Estimation from Finite Samples 8.3.3 Average Predictability Patterns 8.4 Predictive Patterns 8.4.1 Introduction 8.4.2 Optimally Predictable Patterns 8.4.3 Computational Aspects 8.5 Optimally Interpolated Patterns 8.5.1 Background 8.5.2 Interpolation and Pattern Derivation 8.5.3 Numerical Aspects 8.5.4 Application 8.6 Forecastable Component Analysis 9 Principal Coordinates or Multidimensional Scaling 9.1 Introduction 9.2 Dissimilarity Measures 9.3 Metric Multidimensional Scaling 9.3.1 The Problem of Classical Scaling 9.3.2 Principal Coordinate Analysis 9.3.3 Case of Non-Euclidean Dissimilarity Matrix 9.4 Non-metric Scaling 9.5 Further Extensions 9.5.1 Replicated and Weighted MDS 9.5.2 Nonlinear Structure 9.5.3 Application to the Asian Monsoon 9.5.4 Scaling and the Matrix Nearness Problem 10 Factor Analysis 10.1 Introduction 10.2 The Factor Model 10.2.1 Background 10.2.2 Model Definition and Terminology 10.2.3 Model Identification 10.2.4 Non-unicity of Loadings 10.3 Parameter Estimation 10.3.1 Maximum Likelihood Estimates 10.3.2 Expectation Maximisation Algorithm 10.4 Factor Rotation 10.4.1 Oblique and Orthogonal Rotations 10.4.2 Examples of Rotation Criteria 10.5 Exploratory FA and Application to SLP Anomalies 10.5.1 Factor Analysis as a Matrix Decomposition Problem 10.5.2 A Factor Rotation 10.6 Basic Difference Between EOF and Factor Analyses 10.6.1 Comparison Based on the Standard Factor Model 10.6.2 Comparison Based on the Exploratory Factor Analysis Model 11 Projection Pursuit 11.1 Introduction 11.2 Definition and Purpose of Projection Pursuit 11.2.1 What Is Projection Pursuit? 11.2.2 Why Projection Pursuit? 11.3 Entropy and Structure of Random Variables 11.3.1 Shannon Entropy 11.3.2 Differential Entropy 11.4 Types of Projection Indexes 11.4.1 Quality of a Projection Index 11.4.2 Various PP Indexes 11.4.3 Practical Implementation 11.5 PP Regression and Density Estimation 11.5.1 PP Regression 11.5.2 PP Density Estimation 11.6 Skewness Modes and Climate Application of PP 12 Independent Component Analysis 12.1 Introduction 12.2 Background and Definition 12.2.1 Blind Deconvolution 12.2.2 Blind Source Separation 12.2.3 Definition of ICA 12.3 Independence and Non-normality 12.3.1 Statistical Independence 12.3.2 Non-normality 12.4 Information-Theoretic Measures 12.4.1 Entropy 12.4.2 Kullback–Leibler Divergence 12.4.3 Mutual Information 12.4.4 Negentropy 12.4.5 Useful Approximations 12.5 Independent Component Estimation 12.5.1 Choice of Objective Function for ICA 12.5.2 Numerical Implementation 12.6 ICA via EOF Rotation and Weather and Climate Application 12.6.1 The Standard Two-Way Problem 12.6.2 Extension to the Three-Way Data 12.7 ICA Generalisation: Independent Subspace Analysis 13 Kernel EOFs 13.1 Background 13.2 Kernel EOFs 13.2.1 Formulation of Kernel EOFs 13.2.2 Practical Details of Kernel EOF Computation 13.2.3 Illustration with Concentric Clusters 13.3 Relation to Other Approaches 13.3.1 Spectral Clustering 13.3.2 Modularity Clustering 13.4 Pre-images in Kernel PCA 13.5 Application to An Atmospheric Model and Reanalyses 13.5.1 Application to a Simplified Atmospheric Model 13.5.2 Application to Reanalyses 13.6 Other Extensions of Kernel EOFs 13.6.1 Extended Kernel EOFs 13.6.2 Kernel POPs 14 Functional and Regularised EOFs 14.1 Functional EOFs 14.2 Functional PCs and Discrete Sampling 14.3 An Example of Functional PCs from Oceanography 14.4 Regularised EOFs 14.4.1 General Setting 14.4.2 Case of Spatial Fields 14.5 Numerical Solution of the Full Regularised EOF Problem 14.6 Application of Regularised EOFs to SLP Anomalies 15 Methods for Coupled Patterns 15.1 Introduction 15.2 Canonical Correlation Analysis 15.2.1 Background 15.2.2 Formulation of CCA 15.2.3 Computational Aspect 15.2.4 Regularised CCA 15.2.5 Use of Correlation Matrices 15.3 Canonical Covariance Analysis 15.4 Redundancy Analysis 15.4.1 Redundancy Index 15.4.2 Redundancy Analysis 15.5 Application: Optimal Lag Between Two Fields and Other Extensions 15.5.1 Application of CCA 15.5.2 Application of Redundancy 15.6 Principal Predictors 15.7 Extension: Functional Smooth CCA 15.7.1 Introduction 15.7.2 Functional Non-smooth CCA and Indeterminacy 15.7.3 Smooth CCA/MCA 15.7.4 Application of SMCA to Space–Time Fields 15.8 Some Points on Coupled Patterns and Multiva

Language: English

Keywords: Electronic books ; Lehrbuch

DOI: 10.1007/978-3-030-67073-3

URL: Ebook (access only within the AWI network)

UID:

Format: 1 Online-Ressource (xii, 224 pages) , illustrations

Edition: First edition

Edition: Also available in print

ISBN: 0857711873 , 1429462655 , 1282605194 , 9781429462655 , 9781845111571 , 9780755695584 , 9781282605190 , 9780857711878

Content: Half-man-half-myth, the werewolf has over the years infiltrated popular culture in many strange and varied shapes, from Gothic horror to the 'body horror' films of the 1980s and today's graphic novels. Yet despite enormous critical interest in myths and in monsters, from vampires to cyborgs, the figure of the werewolf has been strangely overlooked. Embodying our primal fears - of anguished masculinity, of 'the beast within' - the werewolf, argues Bourgault du Coudray, has revealed in its various lupine guises radically shifting attitudes to the human psyche. Tracing the werewolf's 'use' by ant

Content: Shifting shapes of the werewolf -- Werewolves and scholars -- Upright citizens on all fours -- I used to be a werewolf but I'm alright nowooooo -- The call of the wild -- Women who run with the wolves -- A manifesto for werewolves -- In the steps of the werewolf.

Note: Includes bibliographical references (pages 152-217) and index , Also available in print. , Mode of access: World Wide Web. , Barrierefreier Inhalt: Compliant with Level AA of the Web Content Accessibility Guidelines. Content is displayed as HTML full text which can easily be resized or read with assistive technology, with mark-up that allows screen readers and keyboard-only users to navigate easily

Additional Edition: ISBN 1845111575

Additional Edition: ISBN 9781845111571

Additional Edition: Erscheint auch als Druck-Ausgabe Du Coudray, Chantal Bourgault Curse of the werewolf London ; New York : I.B. Tauris, 2006 ISBN 1845111575

Additional Edition: ISBN 9781845111571

Language: English

Keywords: Electronic books

DOI: 10.5040/9780755695584

URL: lizenzpflichtig

UID:

Format: 1 online resource.

Content: "In The Block of Fame, Edmund Bergler, like the thirteenth fairy in the “Sleeping Beauty,“ uninvited because there wasn’t an extra place setting, crashes the psychoanalytic poetics of daydreaming with a curse. He charges that the overview, according to which art making rarefies daydreaming and delivers omnipotence, overlooks the underlying defense contract. We are hooked to creativity, because it offers the best defense against acknowledging the ultimate and untenable masochistic wish to be refused. Bergler’s bleak view, which Gilles Deleuze alone acknowledged in his study of Sacher-Masoch, doesn’t make any overall contribution to the aesthetics of fantasying that this critique addresses. However, it is a good fit with the centerpiece of the final volume: the wish for fame or, rather, the recoil of the wish in the wreckage that success brings. Following the opening season of mourning and the experience of phantoms, there is the second death, which is murder. In addition to the deadening end that can only be postponed – the killing off of the dead until dead dead – there is another second death that concludes the wish for fame with a ritual stripping of badges and insignia. Not only are the medals thrown to the ground and the sword broken, but a life’s work passes review. At the close of his career, Freud returned to the environs of the wish, the cornerstone of his science. While his disciples Otto Rank and Hanns Sachs carried out his 1907 insights regarding the poetics of daydreaming to illuminate, respectively, the mythic origin of the hero and the evolution of art out of the mutual daydream, Freud battened down for the end of his world by revisiting the so-called primal fantasy, the myth of the primal father, in Moses and Monotheism. The animal setting that was a given of its premier articulation in Totem and Taboo was a wrap this time around with Freud’s translation of Marie Bonaparte’s transference gift, a memoir recounting her premature mourning for her sick chow and the dog’s recovery from cancer of the jaw. In Bergler’s unconscious system, plagiarism is the conscious variation on the block basic to authorship. Theodor Adorno interpreted the ascendancy of the culture industry leading to and through the Third Reich in terms of the theft of modernism’s critical strategies for promoting the transformation of wish fantasy into the social relation of art. In the course of writing his essay “Notes on Kafka” between 1942 and 1952, Adorno was able to reclaim for aesthetic theory after Auschwitz the “constellation” that he and Benjamin had originally developed to outlast the culture industry’s depravation of the hopefulness of wishing. Adorno gives the sense or direction of the constellation’s recovery when he argues that Kafka’s work stages the final round of the contest between fantasy and science fiction by extrapolating doubling and déjà vu as the portals to a collective future. The wish for fame or to be refused it and the wish to steal this book or undo the delinquency demarcate the final movement of the third volume, which follows out, beginning with Susan Sontag and Gidget, a veritable Bildungsroman of the post-war era’s star, the teenager. Fantasying to make it big time means to be in training for big ideas and big feelings. The romance of fantasying was also reconfigured out of a station break. The Nazi elevation of youth to superego in the Heimat of the Teen Age neutralized adolescent innovation by forgoing the Hamletian stage of metabolization of the death wish. Switching to the other patient, the other teenager at heart, no longer the German but now the American or Californian, this study enters the termination phase of the analysis in the environs of a reach for the stars that is legend. It is the legend to the final volume’s mapping of our second nature as daydreamer believers."

Note: English

Additional Edition: ISBN 1-953035-29-9

Language: English

UID:

Format: 1 online resource.

Content: "In The Block of Fame, Edmund Bergler, like the thirteenth fairy in the “Sleeping Beauty,“ uninvited because there wasn’t an extra place setting, crashes the psychoanalytic poetics of daydreaming with a curse. He charges that the overview, according to which art making rarefies daydreaming and delivers omnipotence, overlooks the underlying defense contract. We are hooked to creativity, because it offers the best defense against acknowledging the ultimate and untenable masochistic wish to be refused. Bergler’s bleak view, which Gilles Deleuze alone acknowledged in his study of Sacher-Masoch, doesn’t make any overall contribution to the aesthetics of fantasying that this critique addresses. However, it is a good fit with the centerpiece of the final volume: the wish for fame or, rather, the recoil of the wish in the wreckage that success brings. Following the opening season of mourning and the experience of phantoms, there is the second death, which is murder. In addition to the deadening end that can only be postponed – the killing off of the dead until dead dead – there is another second death that concludes the wish for fame with a ritual stripping of badges and insignia. Not only are the medals thrown to the ground and the sword broken, but a life’s work passes review. At the close of his career, Freud returned to the environs of the wish, the cornerstone of his science. While his disciples Otto Rank and Hanns Sachs carried out his 1907 insights regarding the poetics of daydreaming to illuminate, respectively, the mythic origin of the hero and the evolution of art out of the mutual daydream, Freud battened down for the end of his world by revisiting the so-called primal fantasy, the myth of the primal father, in Moses and Monotheism. The animal setting that was a given of its premier articulation in Totem and Taboo was a wrap this time around with Freud’s translation of Marie Bonaparte’s transference gift, a memoir recounting her premature mourning for her sick chow and the dog’s recovery from cancer of the jaw. In Bergler’s unconscious system, plagiarism is the conscious variation on the block basic to authorship. Theodor Adorno interpreted the ascendancy of the culture industry leading to and through the Third Reich in terms of the theft of modernism’s critical strategies for promoting the transformation of wish fantasy into the social relation of art. In the course of writing his essay “Notes on Kafka” between 1942 and 1952, Adorno was able to reclaim for aesthetic theory after Auschwitz the “constellation” that he and Benjamin had originally developed to outlast the culture industry’s depravation of the hopefulness of wishing. Adorno gives the sense or direction of the constellation’s recovery when he argues that Kafka’s work stages the final round of the contest between fantasy and science fiction by extrapolating doubling and déjà vu as the portals to a collective future. The wish for fame or to be refused it and the wish to steal this book or undo the delinquency demarcate the final movement of the third volume, which follows out, beginning with Susan Sontag and Gidget, a veritable Bildungsroman of the post-war era’s star, the teenager. Fantasying to make it big time means to be in training for big ideas and big feelings. The romance of fantasying was also reconfigured out of a station break. The Nazi elevation of youth to superego in the Heimat of the Teen Age neutralized adolescent innovation by forgoing the Hamletian stage of metabolization of the death wish. Switching to the other patient, the other teenager at heart, no longer the German but now the American or Californian, this study enters the termination phase of the analysis in the environs of a reach for the stars that is legend. It is the legend to the final volume’s mapping of our second nature as daydreamer believers."

Note: English

Additional Edition: ISBN 1-953035-29-9

Language: English

UID:

Format: 1 online resource.

Content: "In The Block of Fame, Edmund Bergler, like the thirteenth fairy in the “Sleeping Beauty,“ uninvited because there wasn’t an extra place setting, crashes the psychoanalytic poetics of daydreaming with a curse. He charges that the overview, according to which art making rarefies daydreaming and delivers omnipotence, overlooks the underlying defense contract. We are hooked to creativity, because it offers the best defense against acknowledging the ultimate and untenable masochistic wish to be refused. Bergler’s bleak view, which Gilles Deleuze alone acknowledged in his study of Sacher-Masoch, doesn’t make any overall contribution to the aesthetics of fantasying that this critique addresses. However, it is a good fit with the centerpiece of the final volume: the wish for fame or, rather, the recoil of the wish in the wreckage that success brings. Following the opening season of mourning and the experience of phantoms, there is the second death, which is murder. In addition to the deadening end that can only be postponed – the killing off of the dead until dead dead – there is another second death that concludes the wish for fame with a ritual stripping of badges and insignia. Not only are the medals thrown to the ground and the sword broken, but a life’s work passes review. At the close of his career, Freud returned to the environs of the wish, the cornerstone of his science. While his disciples Otto Rank and Hanns Sachs carried out his 1907 insights regarding the poetics of daydreaming to illuminate, respectively, the mythic origin of the hero and the evolution of art out of the mutual daydream, Freud battened down for the end of his world by revisiting the so-called primal fantasy, the myth of the primal father, in Moses and Monotheism. The animal setting that was a given of its premier articulation in Totem and Taboo was a wrap this time around with Freud’s translation of Marie Bonaparte’s transference gift, a memoir recounting her premature mourning for her sick chow and the dog’s recovery from cancer of the jaw. In Bergler’s unconscious system, plagiarism is the conscious variation on the block basic to authorship. Theodor Adorno interpreted the ascendancy of the culture industry leading to and through the Third Reich in terms of the theft of modernism’s critical strategies for promoting the transformation of wish fantasy into the social relation of art. In the course of writing his essay “Notes on Kafka” between 1942 and 1952, Adorno was able to reclaim for aesthetic theory after Auschwitz the “constellation” that he and Benjamin had originally developed to outlast the culture industry’s depravation of the hopefulness of wishing. Adorno gives the sense or direction of the constellation’s recovery when he argues that Kafka’s work stages the final round of the contest between fantasy and science fiction by extrapolating doubling and déjà vu as the portals to a collective future. The wish for fame or to be refused it and the wish to steal this book or undo the delinquency demarcate the final movement of the third volume, which follows out, beginning with Susan Sontag and Gidget, a veritable Bildungsroman of the post-war era’s star, the teenager. Fantasying to make it big time means to be in training for big ideas and big feelings. The romance of fantasying was also reconfigured out of a station break. The Nazi elevation of youth to superego in the Heimat of the Teen Age neutralized adolescent innovation by forgoing the Hamletian stage of metabolization of the death wish. Switching to the other patient, the other teenager at heart, no longer the German but now the American or Californian, this study enters the termination phase of the analysis in the environs of a reach for the stars that is legend. It is the legend to the final volume’s mapping of our second nature as daydreamer believers."

Note: English

Additional Edition: ISBN 1-953035-29-9

Language: English

UID:

Format: 1 online resource (240 pages).

Edition: 1st edition

ISBN: 9781953035288 , 9781953035295

Content: In The Block of Fame, Edmund Bergler, like the thirteenth fairy in the "Sleeping Beauty," uninvited because there wasn't an extra place setting, crashes the psychoanalytic poetics of daydreaming with a curse. He charges that the overview, according to which art making rarefies daydreaming and delivers omnipotence, overlooks the underlying defense contract. We are hooked to creativity, because it offers the best defense against acknowledging the ultimate and untenable masochistic wish to be refused. Bergler's bleak view, which Gilles Deleuze alone acknowledged in his study of Sacher-Masoch, doesn't make any overall contribution to the aesthetics of fantasying that this critique addresses. However, it is a good fit with the centerpiece of the final volume: the wish for fame or, rather, the recoil of the wish in the wreckage that success brings. Following the opening season of mourning and the experience of phantoms, there is the second death, which is murder. In addition to the deadening end that can only be postponed - the killing off of the dead until dead dead - there is another second death that concludes the wish for fame with a ritual stripping of badges and insignia. Not only are the medals thrown to the ground and the sword broken, but a life's work passes review. At the close of his career, Freud returned to the environs of the wish, the cornerstone of his science. While his disciples Otto Rank and Hanns Sachs carried out his 1907 insights regarding the poetics of daydreaming to illuminate, respectively, the mythic origin of the hero and the evolution of art out of the mutual daydream, Freud battened down for the end of his world by revisiting the so-called primal fantasy, the myth of the primal father, in Moses and Monotheism. The animal setting that was a given of its premier articulation in Totem and Taboo was a wrap this time around with Freud's translation of Marie Bonaparte's transference gift, a memoir recounting her premature mourning for her sick chow and the dog's recovery from cancer of the jaw. In Bergler's unconscious system, plagiarism is the conscious variation on the block basic to authorship. Theodor Adorno interpreted the ascendancy of the culture industry leading to and through the Third Reich in terms of the theft of modernism's critical strategies for promoting the transformation of wish fantasy into the social relation of art. In the course of writing his essay "Notes on Kafka" between 1942 and 1952, Adorno was able to reclaim for aesthetic theory after Auschwitz the "constellation" that he and Benjamin had originally developed to outlast the culture industry's depravation of the hopefulness of wishing. Adorno gives the sense or direction of the constellation's recovery when he argues that Kafka's work stages the final round of the contest between fantasy and science fiction by extrapolating doubling and déjà vu as the portals to a collective future. The wish for fame or to be refused it and the wish to steal this book or undo the delinquency demarcate the final movement of the third volume, which follows out, beginning with Susan Sontag and Gidget, a veritable Bildungsroman of the post-war era's star, the teenager. Fantasying to make it big time means to be in training for big ideas and big feelings. The romance of fantasying was also reconfigured out of a station break. The Nazi elevation of youth to superego in the Heimat of the Teen Age neutralized adolescent innovation by forgoing the Hamletian stage of metabolization of the death wish. Switching to the other patient, the other teenager at heart, no longer the German but now the American or Californian, this study enters the termination phase of the analysis in the environs of a reach for the stars that is legend. It is the legend to the final volume's mapping of our second nature as daydreamer believers.

Note: Available through punctum books. , Mode of access: World Wide Web.

Language: English

DOI: 10.21983/P3.0279.1.00

URL: FULL

URL: FULL