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