TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

A Guide to Bayesian Statistics

125 点作者 Homunculiheaded大约 9 年前

3 条评论

urza大约 9 年前
This is one of the best explanation I have read:<p>An Intuitive Explanation of Bayes&#x27; Theorem <a href="http:&#x2F;&#x2F;www.yudkowsky.net&#x2F;rational&#x2F;bayes" rel="nofollow">http:&#x2F;&#x2F;www.yudkowsky.net&#x2F;rational&#x2F;bayes</a><p>and I see Eliezer now recommends this instead: <a href="https:&#x2F;&#x2F;arbital.com&#x2F;p&#x2F;bayes_rule&#x2F;?l=1zq" rel="nofollow">https:&#x2F;&#x2F;arbital.com&#x2F;p&#x2F;bayes_rule&#x2F;?l=1zq</a>
评论 #11623557 未加载
评论 #11619546 未加载
doug1001大约 9 年前
so i&#x27;ve never met the chap who does this blog (i think his name is Will), but i&#x27;ve been reading it for a while now. Don&#x27;t let the post with pics of legos mislead you--this guy knows what he&#x27;s talking about. In particular, his posts on parameter estimation and MC simulations are excellent. His writing style is unpretentious and patient (ie, not &quot;see how smart i am&quot; but &quot;here&#x27;s this fascinating subject that i really want you to understand&quot;) and in every post i&#x27;ve read on this Blog, he&#x27;s got something interesting to say even for those who work in this discipline.
评论 #11620012 未加载
elcapitan大约 9 年前
There&#x27;s also Think Bayes (<a href="http:&#x2F;&#x2F;greenteapress.com&#x2F;wp&#x2F;think-bayes&#x2F;" rel="nofollow">http:&#x2F;&#x2F;greenteapress.com&#x2F;wp&#x2F;think-bayes&#x2F;</a>) which uses python.