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A Graduate Course on Statistical Inference
Neural Networks and Statistical Learning
Analysis and Approximation of Rare Events - Representations and Weak Convergence Methods
Asymptotic Nonparametric Statistical Analysis of Stationary Time Series
Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences
Theoretical and Applied Statistics - In Honour of Corrado Gini - SIS 2015, Treviso, Italy, September 9–11
Modern Statistical Methods for Spatial and Multivariate Data
Game‐Theoretic Foundations for Probability and Finance
Introduction to Probability - Models and Applications
Data Science Using Python and R
Data Mining and Statistics for Decision Making
Data Analysis Using SQL and Excel®, Second Edition
Stochastic Disorder Problems
Introduction to Statistics in Human Performance - Using SPSS and R
Applied Statistics - Theory and Problem Solutions with R
Data Analysis and Applications 2 - Utilization of Results in Europe and Other Topics, Volume 3
Data Analysis and Applications 1 - Clustering and Regression, Modeling‐estimating, Forecasting and Data Mining, Volume 2
Optimization of Manufacturing Processes
Singular Spectrum Analysis with R
Simulation and Inference for Stochastic Processes with YUIMA - A Comprehensive R Framework for SDEs and Other Stochastic Processes
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