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Probayes Library
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Learning Bayesian Networks
by
Richard E. Neapolitan
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Bayesian Artificial Intelligence (Chapman & Hall/Crc Computer Science and Data Analysis)
by
Kevin B. Korb
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Algebra of Probable Inference
by
Richard T. Cox
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Bayesian Networks and Decision Graphs (Information Science and Statistics)
by
Finn V. Jensen
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Graphical Belief Modeling
by
Russell G. Almond
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Graphical Models: Methods for Data Analysis and Mining
by
Christian Borgelt
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Information Theory, Inference & Learning Algorithms
by
David J. C. MacKay
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
by
Mike West
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Bayesian Reasoning in Data Analysis: A Critical Introduction
by
Giulio D. Agostini
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Introduction to Bayesian Statistics
by
William M. Bolstad
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Expert Systems and Probabilistic Network Models (Monographs in Computer Science)
by
Enrique Castillo
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Monte Carlo Statistical Methods (Springer Texts in Statistics)
by
Christian P. Robert
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
by
Andrew Gelman
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Causality: Models, Reasoning, and Inference
by
Judea Pearl
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
by
Michael Mitzenmacher
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Probability Theory: The Logic of Science (Vol 1)
by
E. T. Jaynes
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Bayesian Methods: A Social and Behavioral Sciences Approach
by
Jeff Gill
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
by
Nello Cristianini
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The Pleasures of Probability (Undergraduate Texts in Mathematics / Readings in Mathematics)
by
Richard Isaac
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Understanding Probability: Chance Rules in Everyday Life
by
Henk Tijms
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The Subjectivity of Scientists and the Bayesian Approach
by
S. James Press
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An Introduction to Probability and Inductive Logic
by
Ian Hacking
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Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers (Cambridge Series in Statistical and Probabilistic Mathematics)
by
Thomas Leonard
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Monte Carlo Methods in Bayesian Computation (Springer Series in Statistics)
by
Ming-Hui Chen
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