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Bayesian Analysis of Stochastic Process Models
book

Bayesian Analysis of Stochastic Process Models

by David Insua, Fabrizio Ruggeri, Mike Wiper
May 2012
Intermediate to advanced content levelIntermediate to advanced
332 pages
8h 39m
English
Wiley
Content preview from Bayesian Analysis of Stochastic Process Models

WILEY SERIES IN PROBABILITY AND STATISTICS

ESTABLISHED BY WALTER A. SHEWHART AND SAMUEL S. WILKS

Editors: David J. Balding, Noel A.C. Cressie, Garrett M. Fitzmaurice, Harvey Goldstein, Iain M. Johnstone, Geert Molenberghs, David W. Scott, Adrian F.M. Smith, Ruey S. Tsay, Sanford Weisberg

Editors Emeriti: Vic Barnett, Ralph A. Bradley, J. Stuart Hunter, J.B. Kadane, David G. Kendall, Jozef L. Teugels

The Wiley Series in Probability and Statistics is well established and authoritative. It covers many topics of current research interest in both pure and applied statistics and probability theory. Written by leading statisticians and institutions, the titles span both state-of-the-art developments in the field and classical methods.

Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances in computerized practice to rigorous treatment of theoretical approaches.

This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.

ABRAHAM and LEDOLTER • Statistical Methods for Forecasting

AGRESTI • Analysis of Ordinal Categorical Data, Second Edition

AGRESTI • An Introduction to Categorical Data Analysis, Second Edition

AGRESTI • Categorical Data Analysis, Second Edition

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Publisher Resources

ISBN: 9781118304037Purchase book