Arthur Charpentier

Artisan de la donnée. Surreptitious economist & born-again mathematician. Fellow actuary & (coffee and) data addict. Professor & researcher in Rennes (France).

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Book Recommendations:

AC

Recommended by Arthur Charpentier

yesterday, I was mentioning Itzhak Gilboa's notes, on uncertainty, chance, decision, etc... coincident, this afternoon I read 2/3 of "Ten Great Ideas about Chance" https://t.co/ZZdvkEHbn5 by Persi Diaconis and Brian Skyrms (at @PrincetonUPress) Such a great book ! https://t.co/x0m7rmFjCP (from X)

Ten Great Ideas about Chance book cover

Persi Diaconis, Brian Skyrms(you?)

A fascinating account of the breakthrough ideas that transformed probability and statistics In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact. Persi Diaconis and Brian Skyrms begin with Gerolamo Cardano, a sixteenth-century physician, mathematician, and professional gambler who helped develop the idea that chance actually can be measured. They describe how later thinkers showed how the judgment of chance also can be measured, how frequency is related to chance, and how chance, judgment, and frequency could be unified. Diaconis and Skyrms explain how Thomas Bayes laid the foundation of modern statistics, and they explore David Hume’s problem of induction, Andrey Kolmogorov’s general mathematical framework for probability, the application of computability to chance, and why chance is essential to modern physics. A final idea―that we are psychologically predisposed to error when judging chance―is taken up through the work of Daniel Kahneman and Amos Tversky. Complete with a brief probability refresher, Ten Great Ideas about Chance is certain to be a hit with anyone who wants to understand the secrets of probability and how they were discovered.

AC

Recommended by Arthur Charpentier

The review of "What We Believe But Cannot Prove: Today’s Leading Thinkers on Science in the Age of Certainty" https://t.co/r1hbciOZI5 by @GrrlScientist https://t.co/GGslNz0GKh great, now I want to read the book... (from X)

What do you believe is true even though you cannot prove it? This was the question posed by John Brockman to a group of leading scientists and thinkers via his Edge.org website. The subsequent answers created a media storm and prompted a fiery debate about all aspects of science, technology and even the nature of proof. WHAT WE BELIEVE BUT CANNOT PROVE brings together the very best answers from the most eminent contributors. Here is Ian McEwan on the absence of an afterlife; Richard Dawkins on the relationship between design and evolution; and Jared Diamond on when humans first reached the Americas. Other contributions from luminaries like Steven Pinker, John Horgan and Martin Rees span the whole range of scientific endeavour and human experience, from the future of computing to the origins of intelligence; from insights into childhood behaviour to cutting-edge cosmology.