数据分析
Data analysis
D. S. Sivia、John Skilling · 初版 1996 年
6人推荐
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本书聚焦于 Bayesian methods 和 maximum entropy，展示了如何运用几条基本法则来解决数据分析中的各种问题。涵盖的主题包括 reliability analysis、multivariate optimisation、least-squares 以及 maximum likelihood 等等。
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我最近开始刷 http://www.amazon.com/Data-Analysis-Bayesian-Devinderjit-Siv... 这本书，非常推荐。即使不掌握高深的数学细节，贝叶斯推理的好处也挺容易理解的，但归根结底科学家……
I've recently started going through http://www.amazon.com/Data-Analysis-Bayesian-Devinderjit-Siv... and can highly recommend it. The benefits of Bayesian reasoning can be grasped somewhat easily without a detailed knowledge of the math, but at the end of the day scientists…
http://www.amazon.com/Data-Analysis-Bayesian-Tutorial-Public... 篇幅不长，在贝叶斯统计领域口碑很好。具体到 MCMC 我不太了解，但 MCMC 本质上就是一种让你求出数学问题答案的算法……
http://www.amazon.com/Data-Analysis-Bayesian-Tutorial-Public... is short and reputable on Bayesian statistics. On MCMC specifically, I don't know, but MCMC is really a kind of algorithm that lets you find the answer to a mathematical question…
既然聊到这儿了——我从 DS Sivia 和 J Skilling 写的《数据分析：贝叶斯教程》（Data Analysis: A Bayesian Tutorial）里收获颇丰。这是一本研究生水平的教材，我觉得各章节非常精炼，主题编排也很清晰。它是那种能让我不断产生新领悟的书之一……
While we're here - I've gained a lot from "Data Analysis: A Bayesian Tutorial" by DS Sivia and J Skilling. It's a graduate level text, and I found the chapters very concise and the subject well-laid out. It was one of those books that gave me continuous insight…
推荐读读 D.S. Sivia 写的《数据分析：贝叶斯教程》（Data Analysis: A Bayesian Tutorial），这是针对科学家的绝佳实验设计入门书。它为你提供了一种量化的实验设计方法，并配备了用于正确评估的工具……
Read "Data Analysis: A Bayesian Tutorial," by D.S. Sivia for an excellent introduction to experimental design for scientists. This gives you a quantitative approach to the design of experiments, with tools to properly evaluate…
……你可以从假设一定公平程度的概率分布开始，这样就不会在一开始就受到剧烈波动的干扰。我手头没啥现成的线上资料，但可以参考 D. S. Sivia 写的《数据分析：贝叶斯教程》（Data Analysis A Bayesian Tutorial）第 2.1.1 节的一个现成推导示例。一旦做到了这一步，接下来你就需要计算最佳下注金额了。如果下注无限期持续下去，那么……
…start with a probability distribution assuming a degree of fairness you can do that and it won't be so prone to fluctuation of the start. I don't know anything online about this offhand but check out "Data Analysis A Bayesian Tutorial" by D. S. Sivia section 2.1.1 for a worked out example. Once you're doing that, then you need to calculate the optimum amount to bet. If the betting will continue indefinitely then…
……惊讶地发现我偏爱的一些冷门小众书目也在里面：- 《裸猿》，德斯蒙德·莫利斯 - 《费曼计算学讲义》，费曼 - 《费曼图导论》，马图克 - 《视觉复杂性》，利马 - 《数据分析》，西维亚 - 《涌现》，约翰逊
…surprised to find some of my more eclectic favorites included: - Naked Ape, Desmond Morris - Feynman Lectures on Computation - Feynman - Guide to Feynman Diagrams - Mattuck - Visual Complexity - Lima - Data Analysis - Sivia - Emergence - Jonhson