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
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
76
■
7
章
予測
ガ ウス 分 布 は 連 続 的 なも のだ が、これ を 離 散
Pmf
で 近 似 す る。 この た めに
thinkbayes
では、
MakeGaussianPmf
を用意している。
def MakeGaussianPmf(mu, sigma, num_sigmas, n=101):
pmf = Pmf()
low = mu - num_sigmas*sigma
high = mu + num_sigmas*sigma
for x in numpy.linspace(low, high, n):
p = scipy.stats.norm.pdf(mu, sigma, x)
pmf.Set(x, p)
pmf.Normalize()
return pmf
mu
と
sigma
はガウス分布の平均と標準偏差である。
num_sigmas
は平均より上または
下に、
Pmf
が扱う範囲が標準偏差のいくつ分かを示す。
n
は
Pmf
における値の個数であ
る。
numpy.linspac
を使って、
low
から
high
まで両端を含めて
n
個の等間隔な値の配列を
作る。
norm.pdf
は、ガウス確率密度関数（
PDF
）評価を行う。
ホッケー問題に戻ると、
λ
の値についての一連の仮説の定義は次のようになる。
class Hockey(thinkbayes.Suite):
def
__
init
__
(self):
pmf = thinkbayes.MakeGaussianPmf(2.7, 0.3, 4)
thinkbayes.Suite. ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.