Serien Cambridge series in statistical and probabilistic mathematics

Data Analysis and Graphics Using R

John Maindonald

Statistical Models

A. C. Davison

Design of Comparative Experiments

R. A. Bailey

Brownian Motion

Peter Mörters

Stochastic Processes

Richard F. Bass

Fundamentals of Nonparametric Bayesian Inference

Subhashis Ghosal

Long-Range Dependence and Self-Similarity

Vladas Pipiras

High-Dimensional Probability

Roman Vershynin

Probability

Richard Durrett

Statistical Hypothesis Testing in Context: Volume 52

Michael P. Fay

The Fundamentals of Heavy Tails

Jayakrishnan Nair

A User's Guide to Measure Theoretic Probability

David Pollard

Asymptotic Statistics

A. W. van der Vaart

Bootstrap Methods and their Application

A. C. Davison

Essentials Of Statistical Inference

G. A. Young

Markov Chains

J. R. Norris

Mathematical Foundations of Infinite-Dimensional Statistical Models

Evarist Giné

Model Selection and Model Averaging

Gerda Claeskens

Model-Based Clustering and Classification for Data Science

Charles Bouveyron

Random Graph Dynamics

Rick Durrett

Semiparametric Regression

David Ruppert

Statistical Principles for the Design of Experiments

R. Mead