Statistics and Probabilities

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Statistical Physics for Electrical Engineering

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A Basic Course in Probability Theory

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Derivatives: Theory and Practice

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Theory of Factorial Design: Single- and Multi-Stratum Experiments

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Gaussian Measures in Hilbert Space: Construction and Properties

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Data Analysis and Applications 3: Computational, Classification, Financial, Statistical and Stochastic Methods

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Data Analysis and Applications 4: Financial Data Analysis and Methods

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Dynamics of Statistical Experiments

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Contributions on Theory of Mathematical Statistics

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Python for Probability, Statistics, and Machine Learning

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Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

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Quantile Regression: Estimation and Simulation

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Just Enough R!: An Interactive Approach to Machine Learning and Analytics

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Statistical Inference via Convex Optimization

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Statistics in Music Education Research

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It's All Analytics!: The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government

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Applied Statistics for Economists

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Applied Structural Equation Modeling using AMOS: Basic to Advanced Techniques

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Statistical Rethinking: A Bayesian Course with Examples in R and STAN

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Introduction to Malliavin Calculus

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Introduction to Probability

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Probability on Graphs: Random Processes on Graphs and Lattices

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Statistical Modelling by Exponential Families

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Data Visualization and Statistical Literacy for Open and Big Data

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Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R

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Shrinkage Estimation for Mean and Covariance Matrices

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Statistics for Beginners in Data Science: Theory and Applications of Essential Statistics Concepts using Python

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A Course in Mathematical Statistics and Large Sample Theory

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An Introduction to Categorical Data Analysis

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Essential Statistics, Regression, and Econometrics

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