Ten Great Ideas About Chance by Persi Diaconis
A concise tour of ten foundational ideas that shaped our understanding of chance, blending history, mathematics, and philosophy to show how modern probability emerged. It traces the roles of symmetry, frequency, and subjective belief; explains the law of large numbers and limit phenomena; contrasts Bayesian and frequentist inference and the value of randomized experiments; explores exchangeability and Markov chains to reveal how order can arise from randomness; and examines concepts like entropy, algorithmic randomness, and strategic interaction. Throughout, it connects these ideas to scientific reasoning, data analysis, and everyday decision-making.
- Published
- 2018
- Nationality
- American
- Length
- Medium
- Pages
- 256
- Original Language
- English
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- Alternate Titles
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