Thinking About Statistics - The Philosophical Foundations

Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference etc.) and drawing out their philosophical implications.

List of contents

Introduction 1. The Paradigm of Modern Statistics 2. Bayesian Statistics 3. Classical Statistics 4. Model Selection and Machine Learning 5. Causal Inference 6. The Ontology, Semantics, and Epistemology of Statistics

About the author

Jun Otsuka is Associate Professor of Philosophy at Kyoto University and a visiting researcher at the RIKEN Center for Advanced Intelligence Project in Saitama, Japan. He is the author of The Role of Mathematics in Evolutionary Theory (Cambridge UP, 2019).

Summary

Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference etc.) and drawing out their philosophical implications.

Product details

• Authors: Jun Otsuka
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 31.12.2022
• EAN: 9781032333106
• ISBN: 978-1-0-3233310-6
• No. of pages: 194
• Subjects: Humanities, art, music > Psychology > Theoretical psychology; Non-fiction book > Philosophy, religion > Philosophy: general, reference works; PHILOSOPHY / General, Probability & statistics, Philosophy: epistemology & theory of knowledge, Probability and statistics, Philosophy: epistemology and theory of knowledge