Statistics and Probabilities

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Introduction to Probability: Models and Applications

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Data Mining and Statistics for Decision Making

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Data Science Using Python and R

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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

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Meta-Analysis: A Structural Equation Modeling Approach

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Methods of Multivariate Analysis

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Mixtures: Estimation and Applications

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Lectures on Quantum Statistics: With Applications to Dilute Gases and Plasmas

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A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond

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Applied Directional Statistics: Modern Methods and Case Studies

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An Accidental Statistician: The Life and Memories of George E. P. Box

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Statistical Mechanics of Classical and Disordered Systems: Luminy, France, August 2018

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Applied Bayesian Modelling

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Ensemble Classification Methods with Applications in R

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Fundamental Statistical Inference: A Computational Approach

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How Qualitative Data Analysis Happens: Moving Beyond "Themes Emerged"

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Markov Chains: Analytic and Monte Carlo Computations

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Markov Chains: Theory and Applications

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Markov Processes and Applications: Algorithms, Networks, Genome and Finance

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A Graduate Course on Statistical Inference

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Analysis and Approximation of Rare Events: Representations and Weak Convergence Methods

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Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

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Neural Networks and Statistical Learning

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Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

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Measuring Agreement: Models, Methods, and Applications

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Applications of Regression Techniques

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Structural Equation Modeling: Applications Using Mplus

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Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

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Practical Multivariate Analysis

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On Stein's Method for Infinitely Divisible Laws with Finite First Moment

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