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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9.4
尤度
■
109
beba＝ 10
beba＝ 20
beba＝ 40
距離
図 9-2 alpha=10 のとき、betaの複数の値に対する位置のPMF
9.4
尤度
ここで必要なのは尤度関数である。
MakeLocationPmf
を用いて、相手の座標が与え
られたとき、
x
の任意の値の尤度を計算できる。
def Likelihood(self, data, hypo):
alpha, beta = hypo
x = data
pmf = MakeLocationPmf(alpha, beta, self.locations)
like = pmf.Prob(x)
return like
繰り返すが、
alpha
と
beta
は射撃手の仮説的な座標で、
x
は観察された弾痕の位置
である。
pmf
は、射撃手の座標が与えられた各位置の確率を含む。この
Pmf
から、観察された
位置の確率を選ぶ。
これで終わりだ。スイートを更新するためには、
Suite
を継承した
UpdateSet
を使う
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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.
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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.