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A Handbook of Statistical Analyses Using R
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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Probability Theory: The Logic of Science
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The Elements of Statistical Learning
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Causality: Models, Reasoning, and Inference
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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Introductory Statistics with R
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Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
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Pattern Classification (2nd Edition)
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Data Analysis and Graphics Using R
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Introduction to Probability Models, Eighth Edition
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Gamma: Exploring Euler`s Constant
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Learning Bayesian Networks (Artificial Intelligence)
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Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
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Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
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Molecular Cell Biology
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Information Theory, Inference & Learning Algorithms
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Structural Equation Modelling: A Bayesian Approach (Wiley Series in Probability and Statistics)
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Bayesian Networks and Decision Graphs (Information Science and Statistics)
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Mixed Effects Models in S and S-Plus
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Mathematica Navigator: Mathematics, Statistics, and Graphics, Second Edition
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Learning in Graphical Models (Adaptive Computation and Machine Learning)
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Graphical Models (Oxford Statistical Science Series)
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Kernel Methods for Pattern Analysis
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Bayesian Artificial Intelligence (Chapman & Hall/Crc Computer Science and Data Analysis)
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Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability & Statistics)
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Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)
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Probabilistic Networks and Expert Systems (Information Science and Statistics)
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Log-Linear Models and Logistic Regression (Springer Texts in Statistics)
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Multivariate Dependencies: Models, Analysis and Interpretation (Monographs on Statistics and Applied Probability)
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