A Course in Credibility Theory and its Applications
It covers the subject of Credibility Theory extensively and includes most aspects of this topic from the simplest case to ...
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Artificial Neural Networks - ICANN 2008 : 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on ...
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Artificial Neural Networks - ICANN 2008 : 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on ...
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Bayesian Core: A Practical Approach to Computational Bayesian Statistics
This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
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Independent Component Analysis and Blind Signal Separation
This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and ...
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Introduction to Bayesian Statistics
This is the second and translated edition of the German book “Einf ̈uhrung in die Bayes-Statistik, Springer-Verlag, Berlin ...
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Kernel Methods for Machine Learning with Math and Python : 100 Exercises for Building Logic / Joe Suzuki
Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
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Multiscale Modeling
The book is aimed at statisticians, applied mathematicians, and engineers working on problems dealing with multiscale processes ...
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The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation
This book covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian ...
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The Nature of Statistical Evidence
The purpose of this book is to discuss whether statistical methods make sense. That is a fair question, at the heart of the ...
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