Thinking about Statistics: The Philosophical Foundations

ISBN-13: 9781032333106 / Angielski / Twarda / 2022 / 220 str.

Jun Otsuka

Opis

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.

Recenzje

"Statistics are being used ever more widely in AI, climate studies, medicine and other areas. Yet they are hard to understand both mathematically and conceptually. Jun Otsuka has the answer to this problem. He has a remarkable ability to explain statistical techniques clearly and accurately with a minimal use of mathematics. At the same time he gives lucid discussions of why they work. He deals not only with the long-standing controversy between Bayesianism and classical statistics, but also with such recent topics as causality and deep learning by computers. His book is the perfect guide to those perplexed by statistics."
Donald Gillies, University College London

Spis treści

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