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Everything is predictable : how Bayes' remarkable theorem explains the world

Bayesian probability for babies

Causal inference in statistics : a primer

A student's guide to Bayesian statistics

Bayesian methods in statistics : from concepts to practice

Bayesian Statistics for Experimental Scientists

Nonparametric statistical methods using R

Statistical rethinking : a Bayesian course with examples in R and Stan

Introduction to robust estimation and hypothesis testing

The theory that would not die : how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy

Everything is predictable : how Bayes' remarkable theorem explains the world

Probabilistic graphical models : principles and techniques

Guesstimation : solving the world's problems on the back of a cocktail napkin

Guesstimation 2.0 : solving today's problems on the back of a napkin

Bayes Factors for Forensic Decision Analyses with R

Applied Bayesian statistics

Foundations of decision analysis

Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan

Bayesian statistics : an introduction

Introduction to the new statistics : estimation, open science, and beyond

Data analysis : a Bayesian tutorial

An introduction to decision theory

Causal Inference for Statistics, Social, and Biomedical Sciences : An Introduction

Think Bayes : Bayesian statistics in Python

Bayesian statistics for beginners : a step-by-step approach

Markov decision processes : discrete stochastic dynamic programming

Modern Bayesian Statistics in Clinical Research

Spatial and spatio-temporal Bayesian models with R-INLA

Statistical inference as severe testing : how to get beyond the statistics wars

Bayesian data analysis for the behavioral and neural sciences : non-calculus fundamentals

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