Ten Great Ideas about Chance

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Persi Diaconis is the Mary V. Sunseri Professor of Statistics and Mathematics at Stanford University and the coauthor of Magical Mathematics: The Mathematical Ideas That Animate Great Magic Tricks (Princeton).

Brian Skyrms is Distinguished Professor in the Department of Logic and Philosophy at the University of California, Irvine, and Professor of Philosophy at Stanford University. His books include From Zeno to Arbitrage.

出版者:Princeton University Press
作者:Persi Diaconis
出品人:
页数:272
译者:
出版时间:2017-11-7
价格:USD 27.95
装帧:Hardcover
isbn号码:9780691174167
丛书系列:
图书标签:
  • 概率统计 
  • 概率 
  • 数学文化 
  • 科普 
  • 科学文化 
  • 概率论 
  • 文化 
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  •  
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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 Girolamo Cardano, a sixteenth-century physician, mathematician, and professional gambler who helped develop the idea that chance can actually be measured. They describe how later thinkers showed how the judgment of chance can also 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.

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前段时间,一颗名为“2019OK”的小行星差点撞上地球,直到小行星接近地球的前一天才被发现;这几天,台风“利奇马”肆虐东部沿海各省,本以为会从杭州东面擦过,结果多次转向掉头,根本不在人们预测的路线之上。 我们都觉得天气预报已经那么多年的历史了,然而也还是经常出其不...

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前段时间,一颗名为“2019OK”的小行星差点撞上地球,直到小行星接近地球的前一天才被发现;这几天,台风“利奇马”肆虐东部沿海各省,本以为会从杭州东面擦过,结果多次转向掉头,根本不在人们预测的路线之上。 我们都觉得天气预报已经那么多年的历史了,然而也还是经常出其不...

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本书的阅读会为普通读者带来比较大的挑战。 书名大概是为了蹭N堂极简xx课的热度,因此被翻译成了10堂极简概率课! 但是拿到手翻了翻就一脸懵逼了! 这一点儿也不极简啊!!! 原书是这一本:概率论的10个伟大思想 [Ten Great Ideas about Chance] 作者在前言中是这样写的 这本...  

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第一次看数学书感觉到了语言上(英文)有这么大的障碍,我想可能得原因是作者用了很大的篇幅来描述逻辑上如何破除错误的概念,这对语言理解的精确性要求太高了。

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梳理作用吧 太浅显

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第一次看数学书感觉到了语言上(英文)有这么大的障碍,我想可能得原因是作者用了很大的篇幅来描述逻辑上如何破除错误的概念,这对语言理解的精确性要求太高了。

评分

第一次看数学书感觉到了语言上(英文)有这么大的障碍,我想可能得原因是作者用了很大的篇幅来描述逻辑上如何破除错误的概念,这对语言理解的精确性要求太高了。

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梳理作用吧 太浅显

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