Format:
1 Online-Ressource (118 pages)
ISBN:
9783662486382
Series Statement:
SpringerBriefs in statistics
Content:
This book analyzes the origins of statistical thinking as well as its related philosophical questions, such as causality, determinism or chance. Bayesian and frequentist approaches are subjected to a historical, cognitive and epistemological analysis, making it possible to not only compare the two competing theories, but to also find a potential solution. The work pursues a naturalistic approach, proceeding from the existence of numerosity in natural environments to the existence of contemporary formulas and methodologies to heuristic pragmatism, a concept introduced in the book's final section. This monograph will be of interest to philosophers and historians of science and students in related fields. Despite the mathematical nature of the topic, no statistical background is required, making the book a valuable read for anyone interested in the history of statistics and human cognition. Jordi Vallverdú,Ph.D., M.Sci., B.Mus, B.Phil is a Tenure Professor at Universitat Autònoma de Barcelona, Catalonia, Spain. His research embraces the cognitive and epistemic aspects of contemporary scientific research, especially in the fields of emotional modelling, computer science and robotics. In 2011 he won a Japanese JSPS fellowship to pursue research on computational HRI interfaces at Kyoto University. He was a keynote speaker at ECAP09 (TUM, Munich, Germany), EBICC2012 (UNESP, Brazil) and SLACTIONS 2013 (Portugal). As an expert on emotions and cognition he founded and serves as an Editor-in-chief of the International Journal of Synthetic Emotions (IJSE). He is also a research member of GEHUCT and TECNOCOG.
Note:
Preface; Acknowledgments; Contents; 1 Some Questions to Begin with; Abstract; 1.1 Numbers and/or Neurons; 1.2 Natural Statistics2026or Probability Without Numbers; 1.3 The Emergence of Natural Statistics in Humans; 1.4 So2026Must Statistics Be Considered as a Property of the World or the Result of Our Ignorance?; 1.5 Then2026What the h__ll Is Statistics?; References; 2 Ancient Statistics History in a Nutshell; Abstract; 2.1 Dice in a Deterministic World; 2.2 From Dice to Moral Wagers and God in Mathematics; 2.3 Fortuna, Destiny, Luck, Chance, or Probability 2026
,
2.4 Pay Me Again, Sam2026From New Gods and Taxes to Statistics2.5 From Dice to Vaccines and Assurance Companies: The Birth of Probability; 2.5.1 First of All, Vaccines; 2.5.2 Secondly, Insurance Companies; 2.5.3 Third, Legal Issues and the Notion of ``Evidence''; References; 3 The Bayesian Approach and Its Evolution Until the Beginning of the Twentieth Century; Abstract; References; 4 A Conceptual Reply to Reverend Bayes: The Frequentist Approach; Abstract; References; 5 The Coevolution, Battles, and Fights of Both Paradigms; Abstract; 5.1 Demarcation Problems; 5.2 An Acid and Blurred Debate
,
5.3 Why Bother to Become Frequentist/Bayesian?5.4 A Practical Mixture and Mutual Influence; References; 6 The Birth of Multicausality as the Death of Causality and Their Statistical Corollaries; Abstract; 6.1 Epidemology as a Data-Scanner Discipline; 6.2 The Epidemiological Monocausality; 6.3 The Multiple Causes Paradigm in Epidemiological Studies; 6.4 New Trends in Epidemiology and Causality; References; 7 Natural Versus Artificial Minds and the Supercomputing Era; Abstract; 7.1 Artificial Intelligence and Statistics; 7.2 Supercomputing, Big Science and Big Data; References
,
8 And the Winner Is2026Abstract; References; Index
Additional Edition:
ISBN 9783662486368
Additional Edition:
Erscheint auch als Druck-Ausgabe Bayesians Versus Frequentists : A Philosophical Debate on Statistical Reasoning
Language:
English
Keywords:
Statistik
;
Wahrscheinlichkeit
;
Kausalität
;
Erkenntnistheorie
;
Electronic books
URL:
Volltext
(lizenzpflichtig)
Author information:
Vallverdú, Jordi 1973-
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