September 2014
Intermediate to advanced
236 pages
4h 17m
Japanese
Content preview from Think Bayes ―プログラマのためのベイズ統計入門
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■
vii
まえがき
私の理論とは、私の理論である
＊
1
本書の前提は、他の
Think
シリーズの本（『
Think Stats
』など）でもそうだが、プログ
ラミングの能力があれば、そのスキルを使って、他の事柄も学ぶことができるというも
のだ。
ベイズ（
Bayesian
）統計のほとんどの本は、数学記法を用いており、代数のような数
学的概念でアイデアを提示している。本書では、数学の代わりに
Python
のコードを使
い、連続数学の代わりに離散近似を使う。結果的に、数学書では積分として扱うもの
が足し算になり、確率分布上のほとんどの演算が単純なループ処理になった。
このような本の書き方は、少なくとも、プログラミングスキルを備えた人には、理解
しやすいはずだと私は思っている。しかも、モデルの決定においては、従来の分析手
法を気にしすぎることなしに、最も適切と思われるモデルを選ぶことができるので、よ
り一般的となっている。
おまけに、単純な例
から始めて、スムーズに実際の問題に移行できる。第
3
章が好
例だ。確率論の初歩として定番である、サイコロ投げから始める。学習を進めて、機
関車問題を扱うが、これは、モステラーの『確率の
50
の挑戦問題とその解』［
Mosteller
87
］から採用したものであり、最終的に、第
2
次世界大戦のベイズ手法の成功例として
有名なドイツの戦車問題に至る。
＊
1
訳注：原文は
My theory, which is mine
となっている。これは、モンティ・パイソンのダイナ
ソー・スケッチから採ったも
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.