Why read Thinking About Statistics?

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…

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Why read it?

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

Michael Anthony Lewis

Author

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 The best books for quant geeks.