The Theory That Would Not Die 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

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Sharon Bertsch McGrayne 作者

Yale University Press

譯者

2011-5-17 出版日期

336 頁數

USD 27.50 價格

Hardcover

叢書系列

9780300169690 圖書編碼

The Theory That Would Not Die 在線電子書圖書標籤: 數學貝葉斯統計學概率曆史思維統計 Bayesian

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發表於2025-02-16

The Theory That Would Not Die 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

The Theory That Would Not Die 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

The Theory That Would Not Die 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

The Theory That Would Not Die 在線電子書用戶評價

評分☆☆☆☆☆

這本書的作者不是數學傢，因此有些問題講得不是很透徹，我甚至懷疑某些地方存在錯誤。例如她說算後驗概率時要進行迭代，即將算齣來的結果作為先驗概念再與likelyhood function相乘，Pirre Simon Laplace是這樣做的，而Data Analysis A Bayesian Tutorial在2.1節的末尾明確說這是一種Boot-strip的方法，隻能自欺欺人。

評分☆☆☆☆☆

剛開始看這本書，或者說一直在看不過老是給忘瞭…… Bayesian statistics 本質上是一種自命為神的遊戲，這事從 Bayes 開始琢磨他問題的時候就已經被決定啦。（突然感覺有點感傷之類的，大概因為覺得數學在這種問題麵前完全無能）

評分☆☆☆☆☆

This is not a textbook and does not attempt to teach inferential techniques. Rather, McGrayne offers a very thorough, informative, and often entertaining discussion of the Bayesian perspective. Strongly recommended as it provides the theoretical underpinnings of the Bayesian perspective and shows how Bayesianism has been applied to real world.

評分☆☆☆☆☆

It's about the history of the Baysian statistics. I enjoyed it. But I thought the book tried to hard to avoid any maths details, as if anybody who isn't a math lover would accidentally read this book. At places I really wish the author just put down an equation.

The Theory That Would Not Die 在線電子書著者簡介

The Theory That Would Not Die 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Theory That Would Not Die 在線電子書圖書描述

Drawing on primary source material and interviews with statisticians and other scientists, "The Theory That Would Not Die" is the riveting account of how a seemingly simple theorem ignited one of the greatest scientific controversies of all time. Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years - at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany's Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA decoding to Homeland Security. "The Theory That Would Not Die" is a vivid account of the generations-long dispute over one of the greatest breakthroughs in the history of applied mathematics and statistics.

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