沃瑟曼写的《All of Statistics》（统计学完全教程），然后是《All of Nonparametric Statistics》（非参数统计完全教程）。既然你对哲学层面也感兴趣，绝对还要推荐朱迪亚·珀尔（Judea Pearl）！
All of statistics by wasserman, and then all of nonparametric statistics. Since you’re also interested in the philosophy side of things, definitely suggest Judea pearl too!
……还有你已经有了的 Tibshirani 的书、Duda、Hart 和 Stork 写的《Pattern Recognition》，以及 Chris Bishop 的《PRML》（虽然我觉得它挺无聊的——有太多缺乏直观解释的推导公式）。沃瑟曼的《All of Statistics》尤其是《All of Nonparametric Statistics》都是极棒的书，能让你相当迅速地对大批统计模型建立起全局认知。Papoulis（1993）总体来说也是一本很不错的统计参考书，还有 Joy 和……
…and Tibshirani which you already have, Pattern Recognition by Duda Hart and Stork, and PRML by Chris Bishop (though I found it boring - too many unmotivated equations). All of Statistics and especially All of Nonparametric Statistics by Wasserman are both excellent books which will fairly rapidly get you introduced to large swaths of statistical models. Papoulis (1993) is quite a good reference on statistics in general, and Joy &…
……教科书。你只需要懂一点代数就能看明白。整本书都散发着一种作者恨不得赶紧把这些理论全讲完、好去干其他好玩事情的感觉。（同一作者写的《All of Nonparametric Statistics》实际上门槛没那么低，千万别把它当成精简版的“精华合集”。）对我来说最有价值的统计学书籍是《Statistical Modeling: A Fresh…
…textbook. You only need a bit of algebra to make sense of it. That book exudes the feeling that the author wants to get through all this theory as quickly as possible to move onto other exciting things. (_All of Nonparametric Statistics_ by the same author is actually less approachable and shouldn't be taken as a simplified "the good bits" subset.) The stats book that I have had the most value out of is _Statistical Modeling: A Fresh…
沃瑟曼写的《All of Statistics》（统计学完全教程），然后是《All of Nonparametric Statistics》（非参数统计完全教程）。既然你对哲学层面也感兴趣，绝对还要推荐朱迪亚·珀尔（Judea Pearl）！
All of statistics by wasserman, and then all of nonparametric statistics. Since you’re also interested in the philosophy side of things, definitely suggest Judea pearl too!
……还有你已经有了的 Tibshirani 的书、Duda、Hart 和 Stork 写的《Pattern Recognition》，以及 Chris Bishop 的《PRML》（虽然我觉得它挺无聊的——有太多缺乏直观解释的推导公式）。沃瑟曼的《All of Statistics》尤其是《All of Nonparametric Statistics》都是极棒的书，能让你相当迅速地对大批统计模型建立起全局认知。Papoulis（1993）总体来说也是一本很不错的统计参考书，还有 Joy 和……
…and Tibshirani which you already have, Pattern Recognition by Duda Hart and Stork, and PRML by Chris Bishop (though I found it boring - too many unmotivated equations). All of Statistics and especially All of Nonparametric Statistics by Wasserman are both excellent books which will fairly rapidly get you introduced to large swaths of statistical models. Papoulis (1993) is quite a good reference on statistics in general, and Joy &…
……教科书。你只需要懂一点代数就能看明白。整本书都散发着一种作者恨不得赶紧把这些理论全讲完、好去干其他好玩事情的感觉。（同一作者写的《All of Nonparametric Statistics》实际上门槛没那么低，千万别把它当成精简版的“精华合集”。）对我来说最有价值的统计学书籍是《Statistical Modeling: A Fresh…
…textbook. You only need a bit of algebra to make sense of it. That book exudes the feeling that the author wants to get through all this theory as quickly as possible to move onto other exciting things. (_All of Nonparametric Statistics_ by the same author is actually less approachable and shouldn't be taken as a simplified "the good bits" subset.) The stats book that I have had the most value out of is _Statistical Modeling: A Fresh…