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- 194 pages
- 7 hours of reading
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Bridging statistics and philosophy, this book explores the conceptual foundations of various statistical methodologies, including Bayesian and frequentist statistics, model selection, and machine learning. It presents statistical inference as an epistemic process aimed at justifying hypotheses regarding probabilistic models of empirical problems. The text delves into the ontological, semantic, and epistemological assumptions underpinning inductive inference, characterizing methodologies by their epistemological nature: internalist for Bayesian, externalist for classical, pragmatist for model selection, and virtue epistemology for deep learning.
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Thinking About Statistics, Jun Otsuka
- Language
- Released
- 2023
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- Title
- Thinking About Statistics
- Subtitle
- The Philosophical Foundations
- Language
- English
- Authors
- Jun Otsuka
- Publisher
- Taylor & Francis Ltd
- Released
- 2023
- Format
- Paperback
- Pages
- 194
- ISBN13
- 9781032326108
- Series
- Tags
- Non-Fiction, Social Sciences, Health & Medicine, Science & Math, Natural sciences, Philosophy, Psychology, Biology, Mathematics, History & Theory of Science
- Rating
- 5 out of 5
- Description
- Bridging statistics and philosophy, this book explores the conceptual foundations of various statistical methodologies, including Bayesian and frequentist statistics, model selection, and machine learning. It presents statistical inference as an epistemic process aimed at justifying hypotheses regarding probabilistic models of empirical problems. The text delves into the ontological, semantic, and epistemological assumptions underpinning inductive inference, characterizing methodologies by their epistemological nature: internalist for Bayesian, externalist for classical, pragmatist for model selection, and virtue epistemology for deep learning.