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Introducing_Monte_Carlo_Methods_with_R-Springer(2010).pdf
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Amazon上的评价：
I guess this text is supposed to be the applied, less theoretical, little brother of Monte Carlo Statistical Methods which was written by the same authors. The amount of material seems appropriate for a 1 semester crash-course in applications, and in my opinion it does this quite well. Proofs here are replaced either by heuristics or by nothing at all, which is fine for someone who just wants to run their algorithms without looking too far under the hood.
There is a corresponding R package which contains all the code from the examples, so one can step through the examples in the text. Actually playing with these techniques is crucial for getting a feel for how they work and how to use them and this is probably as close as the authors can get to bringing that experience to the reader.
If you know absolutely nothing about Monte Carlo methods, this book will give you a taste of what they are and what they can be used for. It is a pretty short text and I would consider it fairly light reading so it should be worth the time investment. If you think that you probably need an in-depth knowledge of these methods, MCSM is probably a better use of time (it is also pretty easy reading for a math book).
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