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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164
■
13
章
シミュレーション
バケットは対数目盛りで一様に置かれる。
factor=10
を使うと、妥当なバケット番号
が得られる。例えば、
1 cm
がバケット
0
に、
10 cm
がバケット
23
に対応する
＊
1
。
シミュレーションを走らせた後で、ジョイント分布を色付けしてグラフ化できる。そ
れは、各セルがサイズ−年齢対で、観察された腫瘍の個数を表す。図13-3は
1,000
シ
ミュレーション後のジョイント分布を示す。
cm
腫瘍年齢
図 13-3 年齢と腫瘍サイズのジョイント分布
13.6
条件付き分布
ジョイント分布の垂直切片を取ると、年齢に対するサイズの分布が得られる。水平
切片を取ると、サイズを条件とした年齢の分布が得られる。
ジョイント分布を読み込んで、与えられたサイズの条件付き分布を構築するコードは
次のようになる。
＊
1
訳注：
1 cm
より小さいものには、負のバケット番号が割り当てられる。
13.6
条件付き分布
■
165
# class Cache
def ConditionalCdf(self, bucket):
pmf = self.joint.Conditional(0, 1, bucket)
cdf = pmf.MakeCdf()
return cdf
bucket
は腫瘍サイズに対応するバケ ...
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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.