Statistics and Probabilities

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Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences

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Mixtures: Estimation and Applications

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

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Methods of Multivariate Analysis

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Meta-Analysis: A Structural Equation Modeling Approach

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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

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Modern Statistical Methods for Spatial and Multivariate Data

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Lattice Path Combinatorics and Applications

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Degradation Processes in Reliability

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Data Science Using Python and R

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Data Mining and Statistics for Decision Making

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GARCH Models: Structure, Statistical Inference and Financial Applications

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Game-Theoretic Foundations for Probability and Finance

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Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

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Introduction to Probability: Models and Applications

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Stochastic Disorder Problems

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Data Analysis: What Can Be Learned From the Past 50 Years

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Fractional Brownian Motion: Approximations and Projections

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Financial Econometrics, Mathematics and Statistics: Theory, Method and Application

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Introduction to Statistics in Human Performance: Using SPSS and R

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Applied Statistics: Theory and Problem Solutions with R

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Actuarial Finance: Derivatives, Quantitative Models and Risk Management

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A Matrix Handbook for Statisticians

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100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis

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Data Analysis and Applications 2: Utilization of Results in Europe and Other Topics, Volume 3

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Data Analysis and Applications 1: Clustering and Regression, Modeling-estimating, Forecasting and Data Mining, Volume 2

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Optimization of Manufacturing Processes

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Singular Spectrum Analysis with R (Use R!)

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Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes (Use R!)

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Semiparametric Regression with R (Use R!)

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