这本书比Van Trees的书成书要晚，所以内容比较新。作者的作风很严谨，书中的推导极其严密。不失为一位严谨的学者的作风！虽说推导严密，但是本书 也不只是单纯讲数学的，与工程应用也很贴近。这就是本书的特点。这两册书是统计信号之集大成者。有志于这个领域的，此书必备。

机器学习三大经典之一，The Elements of Statistical Learning(2nd)，最新版，我添加了带详细目录。

Statistical Rethinking A Mostly Bayesian Course in Mostly Non-Bayesian Statistics Richard McElreath 很好的入门资料，学习stan和R不错

The field of machine translation has recently been energized by the emergence of statistical techniques, which have brought the dream of automatic language translation closer to reality. This class-tested textbook, authored by an active researcher in the field, provides a gentle and accessible introduction to the latest methods and enables the reader to build machine translation systems for any language pair. It provides the necessary grounding in linguistics and probabilities, and covers the major models for machine translation: word-based, phrasebased, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book reports on the latest research and outstanding challenges, and enables novices as well as experienced researchers to make contributions to the field. It is ideal for students at undergraduate and graduate level, or for any reader interested in the latest developments in machine translation. P H I L I P P KOEHN is a lecturer in the School of Informatics at the University of Edinburgh. He is the scientific coordinator of the European EuroMatrix project and is also involved in research funded by DARPA in the USA. He has also collaborated with leading companies in the field, such as Systran and Asia Online. He implemented the widely used decoder Pharaoh, and is leading the development of the open source machine translation toolkit Moses.

实用多元统计分析Applied Multivariate Statistical Analysis(Richard A. Johnson第4中文版) 数据分析与挖掘进阶书籍

经典的统计学教程，国外考博必备参考书。 非常系统的介绍了统计学知识。

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

失效时间的统计分析，这是一本经典教材， 关于作者 JOHN D. KALBFLEISCH，博士，密歇根大学安娜堡分校和加拿大安大略省滑铁卢大学生物统计学教授。 ROSS L. PRENTICE，博士，弗雷德哈钦森癌症研究中心和西雅图华盛顿大学的生物统计学教授

信号检测与估计的参考书，英文原版Fundamentals-Of-Statistical-Signal-Processing-Estimation-Theory-Kay Steven M. Kay

统计学习理论本质的英文版