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Bayesian Networks: With Examples in R

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

Classification and regression trees

Fundamentals of Mathematical Statistics

Exploratory multivariate analysis by example using R

Multivariate dependencies: models, analysis and interpretation

Analyzing and modeling rank data : 64

Nonparametric Statistical Inference

Using R for introductory statistics

Probability and statistics for data science: Math+R+Data

Exploratory Data Analysis with MATLAB, Third Edition : 4

Statistical learning with sparsity: the lasso and generalizations : 143

Statistical inference via data science: a modern dive into R and the tidyverse

Introduction to High-Dimensional Statistics

Handbook of Regression Modeling in People Analytics: With Examples in R and Python

Advanced R

Introduction to high-dimensional statistics

Practical Time Series Analysis for Data Science

Introduction to Statistical Modelling and Inference

Introduction to Statistical Modelling and Inference

Statistical Methods for Handling Incomplete Data

Statistical methods for mediation, confounding and moderation analysis using R and SAS

Statistical methods for handling incomplete data

Simplified business statistics using SPSS

Linear Mixed Models: A Practical Guide Using Statistical Software

Linear Mixed Models: A Practical Guide Using Statistical Software

Regression Analysis in R: A Comprehensive View for the Social Sciences

Dynamic Time Series Models Using R-INLA: An Applied Perspective

Dynamic Time Series Models Using R-INLA: An Applied Perspective

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing

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