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