Thinking About Statistics

By Jun Otsuka,

Book cover of Thinking About Statistics: The Philosophical Foundations

Book description

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. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a…

Shepherd is reader supported. When you buy books, we may earn an affiliate commission.

Why read it?

1 author picked Thinking About Statistics as one of their favorite books. Why do they recommend it?

Jun Otsuka, a philosopher who also has training in statistics, zooms in on their philosophical foundations.

His book discusses the metaphysical, epistemological, and semantic assumptions on which Classical statistics, Bayesian statistics, predictive/classification AI models, and causal inference are based.

For those interested in these disciplines but who're also sensitive to the philosophical issues they raise, Otsuka's book is simply amazing. Run out and get a copy as soon as possible.   

From Michael's list on quant geeks.

Want books like Thinking About Statistics?

Our community of 11,000+ authors has personally recommended 100 books like Thinking About Statistics.

Browse books like Thinking About Statistics

5 book lists we think you will like!

Interested in statistics, philosophy, and epistemology?

11,000+ authors have recommended their favorite books and what they love about them. Browse their picks for the best books about statistics, philosophy, and epistemology.

Statistics Explore 29 books about statistics
Philosophy Explore 1,649 books about philosophy
Epistemology Explore 47 books about epistemology