Probability and Statistics with R

Introduction to probability models

Probability and Statistical Inference

Doing Data Science

Introduction to probability models

Bayesian Methods for Management and Business

Reliability Models for Engineers and Scientists

Stochastic Structural Dynamics

Handbook of stochastic analysis and applications

Basic Gambling Mathematics

Handbook of the Shapley Value

Introduction to Functional Data Analysis

Bayesian statistics

Analysis of Queues

Principles of uncertainty

Bayesian Inference with INLA

Making decisions

Statistical Inference As a Bargaining Game

Introduction to statistical decision theory

Large-scale inference

Predictive inference

Statistical Theory

Probability, Statistics, and Stochastic Processes for Engineers and Scientists

Probability Foundations for Engineers

Probability Choice and Reason

Sequential Change Detection and Hypothesis Testing

Asymptotic Problems in Probability TheoryWiener Functionals and Asymptotics (Research Notes in Mathematics Series)

In defence of objective Bayesianism

Graph Searching Games and Probabilistic Methods

Statistical Inference for Models with Multivariate T-Distributed Errors

Statistics for Making Decisions

Random Circulant Matrices

Bayesian statistics

Complex Stochastic Systems (Monographs on Statistics and Applied Probability)

Interpreting Probability

CRC standard probability and statistics tables and formulae

Improved estimation of distribution parameters

Martingales Methods in Statistics

Understanding Analytic Hierarchy Process

Sojourns and Extremes of Stochastic Processes