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Everything Is Predictable : How Bayes' Remarkable Theorem Explains the World

How to Expect the Unexpected : The Science of Making Predictions and the Art of Knowing When Not To

Handbook of Regression Analysis With Applications in R

The Model Thinker : What You Need to Know to Make Data Work for You

Time Series : Modeling, Computation, and Inference, Second Edition

Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

Mathematics of Epidemics on Networks : From Exact to Approximate Models

Modern Statistics : A Computer-Based Approach with Python

Medical Decision Making : A Health Economic Primer

Stationary Stochastic Models: An Introduction

Bayesian Models : A Statistical Primer for Ecologists

The Probabilistic Method

Mathematical Statistics : Basic Ideas and Selected Topics, Volume II

Measure Theory, Probability, and Stochastic Processes

Control Systems and Reinforcement Learning

Monte Carlo Methods

Statistics and Analysis of Scientific Data

Statistical Survey Design and Evaluating Impact

Inference for Functional Data with Applications

Sample Size Calculations in Clinical Research

Winning at Litigation through Decision Analysis : Creating and Executing Winning Strategies in any Litigation or Dispute

Bayesian Statistical Modeling with Stan, R, and Python

The Frailty Model

Analysis of Incidence Rates

A Course in Mathematical Statistics and Large Sample Theory

Harmonic Analysis and Applications

Statistical Foundations, Reasoning and Inference : For Science and Data Science

The Multiple Facets of Partial Least Squares and Related Methods : PLS, Paris, France, 2014

Regression for Health and Social Science : Applied Linear Models with R

Foundations of Statistics for Data Scientists : With R and Python

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