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Peter Norvig's libraryResults 11-20 of 26

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Tracking and Data Association

Yaakov Bar-Shalom, Thomas E. Fortmann - 1988 - Mathematics - Snippet view
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy ...
2 Reviews - Write review

The Mathematical Theory of Communication, Volume 1

Claude Elwood Shannon - 1949 - Mathematics - No preview available
Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory in ...
7 Reviews - Write review

Probabilidad Y Estadística

M. H. DeGroot - 1986 - Mathematics - Snippet view
The revision of this well-respected text presents a balance of the classical and Bayesian methods. The theoretical and practical sides of both probability and statistics are considered. New content areas include the Vorel- Kolmogorov Paradox ...
1 Review - Write review

Bayesian Data Analysis, Second Edition

Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin - 2003 - Mathematics - Limited preview
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a ...
6 Reviews - Write review

Teaching Statistics: A Bag of Tricks

Andrew Gelman, Deborah Ann Nolan - 2002 - Business & Economics - No preview available
Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is ...
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Probabilistic Networks and Expert Systems: Exact Computational Methods for ...

Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter - 2007 - Computers - Limited preview
The work reviewed in this book represents the synthesis of two important developments in modelling of complex stochastic phenomena. The book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms.
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Bayesian Networks and Decision Graphs

FINN VERNER JENSEN, Thomas Dyhre Nielsen - 2007 - Computers - Limited preview
Offers an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. This book focuses on probabilistic graphical models. It deals with decision graphs, and introduces Markov decision process.
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Graphical Models

Steffen L. Lauritzen - 1996 - Limited preview
The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in ...
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Bayesian Networks and Decision Graphs

Finn V. Jensen - 2001 - Computers - Limited preview
A practical guide to normative systems: Causal and bayesian networks; Building models; learning, adaptation, and tuning; Decision graphs. Algorithms ofr normative systems: Belief updating in bayesian networks; Bayesian network analysis tools ...
4 Reviews - Write review