X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Book
    Book
    Bayesian modeling and computation in Python (2022)
    Boca Raton : CRC Press
    Details
    UID:
    gbv_1772349283
    Format: xxii, 398 Seiten , graphische Darstellungen
    Edition: First edition
    ISBN: 9780367894368 , 9781032180298
    Series Statement: Texts in statistical science series
    Content: "Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries."
    Note: Includes bibliographical references and index , Literaturverzeichnis: Seite 387-395
    Additional Edition: 10.1201/9781003019169
    Additional Edition: ISBN 9781003019169
    Additional Edition: Erscheint auch als Online-Ausgabe Martin, Osvaldo A Bayesian modeling and computation in python Boca Raton : CRC Press, 2022
    Additional Edition: Erscheint auch als Online-Ausgabe Martin, Osvaldo Bayesian modeling and computation in Python Boca Raton : CRC Press, Taylor & Francis Group, 2022 ISBN 9781003019169
    Additional Edition: ISBN 1003019161
    Additional Edition: ISBN 9781000520040
    Additional Edition: ISBN 1000520048
    Additional Edition: ISBN 9781000520071
    Additional Edition: ISBN 1000520072
    Language: English
    Subjects: Psychology
    RVK:
    CM 4400
    Keywords: Bayes-Modell ; Bayes-Verfahren ; Probabilistische Programmierung ; Zeitreihenanalyse ; Approximate Bayesian Computation ; Python
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    Hertie School get availability status
  • 2
    Online Resource
    Online Resource
    Bayesian modeling and computation in Python (2022)
    Boca Raton : CRC Press, Taylor & Francis Group
    Details
    UID:
    gbv_1815775025
    Format: 1 Online-Ressource (xxii, 398 Seiten) , Diagramme
    Edition: First edition
    ISBN: 9781003019169 , 1003019161 , 9781000520040 , 1000520048 , 9781000520071 , 1000520072
    Series Statement: Texts in statistical science
    Content: ForewordPrefaceSymbolsChapter 1 Bayesian InferenceChapter 2 Exploratory Analysis of Bayesian ModelsChapter 3 Linear Models and Probabilistic Programming LanguagesChapter 4 Extending Linear ModelsChapter 5 SplinesChapter 6 Time SeriesChapter 7 Bayesian Additive Regression TreesChapter 8 Approximate Bayesian ComputationChapter 9End to End Bayesian WorkflowsChapter 10 Probabilistic Programming LanguagesChapter 11 Appendiceal TopicsGlossaryBibliographyIndex
    Additional Edition: ISBN 9780367894368
    Additional Edition: ISBN 9781032180298
    Additional Edition: Erscheint auch als Druck-Ausgabe Martin, Osvaldo Bayesian modeling and computation in Python Boca Raton : CRC Press, 2022 ISBN 9780367894368
    Additional Edition: ISBN 9781032180298
    Language: English
    Subjects: Psychology
    RVK:
    CM 4400
    Keywords: Bayes-Modell ; Bayes-Verfahren ; Probabilistische Programmierung ; Zeitreihenanalyse ; Approximate Bayesian Computation ; Python
    DOI: 10.1201/9781003019169
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    UB Potsdam
  • 3
    Online Resource
    Online Resource
    Bayesian modeling and computation in Python / (2022)
    Boca Raton, FL :A Chapman & Hall Book, CRC Press,
    Details
    UID:
    almahu_9949385465802882
    Format: 1 online resource : , illustrations (some color).
    ISBN: 9781003019169 , 1003019161 , 9781000520040 , 1000520048 , 1000520072 , 9781000520071
    Series Statement: Chapman & Hall/CRC texts in statistical science series
    Content: "Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries"--
    Note: ForewordPrefaceSymbolsChapter 1 Bayesian InferenceChapter 2 Exploratory Analysis of Bayesian ModelsChapter 3 Linear Models and Probabilistic Programming LanguagesChapter 4 Extending Linear ModelsChapter 5 SplinesChapter 6 Time SeriesChapter 7 Bayesian Additive Regression TreesChapter 8 Approximate Bayesian ComputationChapter 9End to End Bayesian WorkflowsChapter 10 Probabilistic Programming LanguagesChapter 11 Appendiceal TopicsGlossaryBibliographyIndex
    Additional Edition: Print version: Martin, Osvaldo. Bayesian modeling and computation in Python Boca Raton : CRC Press, 2022 ISBN 9780367894368
    Language: English
    Keywords: Electronic books.
    URL: https://www.taylorfrancis.com/books/9781003019169
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
Nothing or not found what you are looking for? Please check your search query or use the Interlibrary Loan Search.
Did you mean 9781003009139?
Did you mean 9781000191639?
Did you mean 9781000191691?
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages