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Cambridge Series in Statistical and Probabilistic Mathematics

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Editors: Z. Ghahramani, R. Gill, F. P. Kelly, B. D. Ripley, S. Ross, M. Stein

This series of high quality upper-division textbooks and expository monographs covers all areas of stochastic applicable mathematics. The topics range from pure and applied statistics to probability theory, operations research, mathematical programming, and optimisation. The books contain clear presentations of new developments in the field and also of the state of the art in classical methods. While emphasising rigorous treatment of theoretical methods, the books also contain applications and discussions of new techniques made possible by advances in computational practice.

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There are 35 titles in this series...

[8] A User's Guide to Measure Theoretic Probability

[8] A User's Guide to Measure Theoretic Probability

[23] Applied Asymptotics

Case Studies in Small-Sample Statistics

[3] Asymptotic Statistics

[5] Bayesian Methods

An Analysis for Statisticians and Interdisciplinary Researchers

[28] Bayesian Nonparametrics

  • Edited by Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker
  • Hardback | Published January 2010
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[1] Bootstrap Methods and their Application

[30] Brownian Motion

[10] Data Analysis and Graphics Using R

An Example-based Approach
2nd Edition

[10] Data Analysis and Graphics Using R

An Example-Based Approach
3rd Edition

[25] Design of Comparative Experiments

[25] Design of Comparative Experiments

[17] Elements of Distribution Theory

[6] Empirical Processes in M-Estimation

[6] Empirical Processes in M-Estimation

[16] Essentials of Statistical Inference

[13] Exercises in Probability

A Guided Tour from Measure Theory to Random Processes, via Conditioning

[13] Exercises in Probability

A Guided Tour from Measure Theory to Random Processes, via Conditioning

From Finite Sample to Asymptotic Methods in Statistics

[2] Markov Chains

[15] Measure Theory and Filtering

Introduction and Applications

[27] Model Selection and Model Averaging

[21] Networks

Optimisation and Evolution

[7] Numerical Methods of Statistics

[20] Random Graph Dynamics

[24] Random Networks for Communication

From Statistical Physics to Information Systems

[22] Saddlepoint Approximations with Applications

[12] Semiparametric Regression

[14] Statistical Analysis of Stochastic Processes in Time

[18] Statistical Mechanics of Disordered Systems

A Mathematical Perspective

[11] Statistical Models

[26] Symmetry Studies

An Introduction to the Analysis of Structured Data in Applications

[19] The Coordinate-Free Approach to Linear Models

[9] The Estimation and Tracking of Frequency

[4] Wavelet Methods for Time Series Analysis