Prior Processes and Their Applications Nonparametric Bayesian Estimation /

This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the curr...

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Bibliographic Details
Main Author: Phadia, Eswar G. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:2nd ed. 2016.
Series:Springer Series in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Prior Processes
  • Inference Based on Complete Data
  • Inference Based on Incomplete Data. .