Information and Complexity in Statistical Modeling is popular PDF and ePub book, written by Jorma Rissanen in 2007-12-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Information and Complexity in Statistical Modeling can be Read Online from any device for your convenience.
Information and Complexity in Statistical Modeling Book PDF Summary
No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of probability models. The intuitive and fundamental concepts of complexity, learnable information, and noise are formalized, which provides a firm information theoretic foundation for statistical modeling. Although the prerequisites include only basic probability calculus and statistics, a moderate level of mathematical proficiency would be beneficial.
Detail Book of Information and Complexity in Statistical Modeling PDF
- Author : Jorma Rissanen
- Release : 15 December 2007
- Publisher : Springer Science & Business Media
- ISBN : 9780387688121
- Genre : Mathematics
- Total Page : 145 pages
- Language : English
- PDF File Size : 15,7 Mb
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