Statistics and Probabilities

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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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Pairwise Multiple Comparisons: Theory and Computation

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Methodological Developments in Data Linkage

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Methodology of Longitudinal Surveys

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Risk Assessment: Theory, Methods, and Applications

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Statistics in Nutrition and Dietetics

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Probability with R: An Introduction with Computer Science Applications

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

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Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

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Nonparametric Statistical Process Control

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Theory of Ridge Regression Estimation with Applications

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Reliability and Statistics in Transportation and Communication

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Testing Statistical Assumptions in Research

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