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Bayesian Theory and Applications

by Paul Damien , Petros Dellaportas , Nicholas G. Polson
Save 17% Save 17%
Current price ₹7,039.00
Original price ₹8,447.00
Original price ₹8,447.00
Original price ₹8,447.00
(-17%)
₹7,039.00
Current price ₹7,039.00

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Book cover type: Paperback
  • ISBN13: 9780198739074
  • Binding: Paperback
  • Subject: N/A
  • Publisher: OUP Oxford
  • Publisher Imprint: OUP Oxford
  • Publication Date:
  • Pages: 718
  • Original Price: GBP 48.49
  • Language: English
  • Edition: Reprint
  • Item Weight: 989 grams
  • BISAC Subject(s): Probability & Statistics / Bayesian Analysis

The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.

Paul Damien, Professor, McCombs School of Business, University of Texas in Austin, Petros Dellaportas, Professor, Athens University of Economics and Business, Nicholas G. Polson, Professor of Econometrics and Statistics, Chicago Booth, University of Chicago, David A. Stephens, Professor, McGill University

Paul Damien is a Professor at the McCombs School of Business, University of Texas in Austin.

Petros Dellaportas is a Professor at the Athens University of Economics and Business.

Nicholas G Polson is Professor of Econometrics and Statistics at Chicago Booth, University of Chicago.

David M Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Canada.

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