Download the fantastic book titled Information and Complexity in Statistical Modeling written by Jorma Rissanen, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Information and Complexity in Statistical Modeling", which was released on 15 December 2007. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.
Summary of Information and Complexity in Statistical Modeling by Jorma Rissanen PDF
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 About Information and Complexity in Statistical Modeling PDF
- Author : Jorma Rissanen
- Publisher : Springer Science & Business Media
- Genre : Mathematics
- Total Pages : 145 pages
- ISBN : 0387688129
- Release Date : 15 December 2007
- PDF File Size : 10,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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