Cambridge Series in Statistical and Probabilistic Mathematics
Book Series
by J. R. Norris
Latest:
2020
Book 1
Bootstrap Methods and their Application
by A.C. Davison, D. V. Hinkley
Book 2
Markov Chains
by J.R. Norris
Book 3
Asymptotic Statistics
by A. W. van der Vaart
Book 4
Wavelet Methods for Time Series Analysis
by Donald B. Percival, Andrew T. Walden
Book 5
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers
by Thomas Leonard, John S. J. Hsu
Book 6
Empirical Processes in M-Estimation
by Sara A. van de Geer
Book 7
Numerical Methods of Statistics
by John F. Monahan
Book 8
A User's Guide to Measure Theoretic Probability
by David Pollard
Book 9
The Estimation and Tracking of Frequency
by Barry G. Quinn, E.J. Hannan
Book 10
Data Analysis and Graphics Using R: An Example-Based Approach
by John Maindonald, W. John Braun
Book 11
Statistical Models
by A. C. Davison
Book 12
Semiparametric Regression
by David Ruppert, M.P. Wand, R.J. Carroll
Book 14
Book 15
Measure Theory and Filtering: Introduction and Applications
by Lakhdar Aggoun, Robert James Elliott
Book 16
Essentials of Statistical Inference
by G.A. Young, R. L. Smith
Book 17
Elements of Distribution Theory
by Thomas A. Severini
Book 18
Book 19
The Coordinate-Free Approach to Linear Models
by Michael J. Wichura
Book 20
Random Graph Dynamics
by Rick Durrett
Book 21
Networks: Optimisation and Evolution
by Peter Whittle
Book 22
Saddlepoint Approximations with Applications
by Ronald W. Butler
Book 23
Applied Asymptotics: Case Studies in Small-Sample Statistics
by A. R. Brazzale, A. C. Davison, N. Reid
Applied Asymptotics: Cases Studies in Small-Sample Statistics. Cambridge Series in Statistical and Probabilistic Mathematics.
by A.R. Brazzale, A.C. Davison, N. Reid
Book 24
Random Networks for Communication: From Statistical Physics to Information Systems
by Massimo Franceschetti, Ronald Meester
Book 25
Design of Comparative Experiments
by Ronald A. Bailey
Book 26
Book 27
Model Selection and Model Averaging
by Gerda Claeskens, Nils Lid Hjort
Model Selection and Model Averaging. Cambridge Series in Statistical and Probabilistic Mathematics.
by Gerda Claeskens, Nils Lid Hjort
Book 28
Bayesian Nonparametrics
by Nils Lid Hjort, Peter Muller, Stephen G. Walker
Book 29
From Finite Sample to Asymptotic Methods in Statistics
by Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
Book 30
Brownian Motion
by Peter Mörters, Yuval Peres
Book 31
Probability: Theory and Examples
by Rick Durrett
Probability
by Rick Durrett
Book 32
Book 33
Stochastic Processes
by Richard F. Bass
Book 34
Regression for Categorical Data
by Gerhard Tutz
Book 35
Exercises in Probability: A Guided Tour from Measure Theory to Random Processes, via Conditioning
by Loïc Chaumont, Marc Yor
Book 36
Statistical Principles for the Design of Experiments: Applications to Real Experiments
by R. Mead, S. G. Gilmour, A. Mead
Statistical Principles for the Design of Experiments
by R. Mead, S.G. Gilmour, A. Mead
Book 37
Quantum Stochastics
by Mou-Hsiung Chang
Book 38
Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics
by Piet Groeneboom, Geurt Jongbloed
Book 39
Large Sample Covariance Matrices and High-Dimensional Data Analysis
by Jianfeng Yao, Zhidong Bai, Shurong Zheng
Book 40
Mathematical Foundations of Infinite-Dimensional Statistical Models
by Evarist Giné, Richard Nickl, Evarist Ginae
Book 41
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions
by Tore Schweder, Nils Lid Hjort
Book 42
Probability on Trees and Networks
by Russell Lyons, Yuval Peres
Book 43
Random Graphs and Complex Networks
by Remco van der Hofstad
Book 44
Fundamentals of Nonparametric Bayesian Inference
by Subhashis Ghosal, Aad van der Vaart
Book 45
Long-Range Dependence and Self-Similarity
by Vladas Pipiras, Murad S. Taqqu
Book 46
Predictive Statistics: Analysis and Inference Beyond Models
by Bertrand S. Clarke
Book 47
Book 48
High-Dimensional Statistics: A Non-Asymptotic Viewpoint
by Martin J. Wainwright
Book 50
Model-Based Clustering and Classification for Data Science: With Applications in R
by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy
Book 51
Spectral Analysis for Univariate Time Series
by Donald B. Percival, Andrew T. Walden