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External Bayesian Analysis for Computer Simulators *

Michael Goldstein

in Bayesian Statistics 9

Published in print:
2011
Published Online:
January 2012
ISBN:
9780199694587
eISBN:
9780191731921
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199694587.003.0007
Subject:
Mathematics, Probability / Statistics

Computer simulators offer a powerful approach for studying complex physical systems. We consider their use in current practice and the role of external uncertainty in bridging the gap between the ... More


Momentum density studies by the Maximum Entropy Method

L. Dobrzyński

in X-Ray Compton Scattering

Published in print:
2004
Published Online:
September 2007
ISBN:
9780198501688
eISBN:
9780191718045
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198501688.003.0007
Subject:
Physics, Atomic, Laser, and Optical Physics

This chapter discusses the Maximum Entropy Method (MEM). It begins with a general introduction to MEM, then develops the application to the reconstruction of the three-dimensional electron density ... More


Bayesian dynamic modelling

West Mike

in Bayesian Theory and Applications

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199695607
eISBN:
9780191744167
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199695607.003.0008
Subject:
Mathematics, Probability / Statistics

This chapter focuses on some key models and ideas in Bayesian time series and forecasting, along with extracts from a few time series analysis and forecasting examples. It discusses specific ... More


Empirical Models

Kevin A. Clarke and David M. Primo

in A Model Discipline: Political Science and the Logic of Representations

Published in print:
2012
Published Online:
May 2012
ISBN:
9780195382198
eISBN:
9780199932399
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195382198.003.0005
Subject:
Political Science, Comparative Politics

Empirical models are the subject of this chapter. We begin by defining what an empirical model is and its relationship to the data. We discuss how to understand an empirical model under the ... More


Bayes, Hume, Price, and Miracles

John Earman

in Bayes's Theorem

Published in print:
2005
Published Online:
January 2012
ISBN:
9780197263419
eISBN:
9780191734175
Item type:
chapter
Publisher:
British Academy
DOI:
10.5871/bacad/9780197263419.003.0005
Subject:
Philosophy, Logic/Philosophy of Mathematics

This chapter discusses the Bayesian analysis of miracles. It is set in the context of the eighteenth-century debate on miracles. The discussion is focused on the probable response of Thomas Bayes to ... More


Bayesian Theory and Applications

Paul Damien, Petros Dellaportas, Nicholas G. Polson, and David A. Stephens (eds)

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199695607
eISBN:
9780191744167
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199695607.001.0001
Subject:
Mathematics, Probability / Statistics

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 ... More


Uncertainty in Foreign Policy Making: Changing Relations among South Korea, North Korea, and the United States of America in the Twenty-First Century

HeeMin Kim

in Korean Democracy in Transition: A Rational Blueprint for Developing Societies

Published in print:
2011
Published Online:
September 2011
ISBN:
9780813129945
eISBN:
9780813135748
Item type:
chapter
Publisher:
University Press of Kentucky
DOI:
10.5810/kentucky/9780813129945.003.0006
Subject:
Political Science, International Relations and Politics

This chapter discusses the changing political situation on the Korean peninsula. It establishes that the situation is amenable to Bayesian game analysis and presents an analysis of Bayesian games ... More


Bayesian estimation of parameters

J. Durbin and S.J. Koopman

in Time Series Analysis by State Space Methods: Second Edition

Published in print:
2012
Published Online:
December 2013
ISBN:
9780199641178
eISBN:
9780191774881
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199641178.003.0013
Subject:
Mathematics, Probability / Statistics

This chapter discusses the use of importance sampling for the estimation of parameters in Bayesian analysis for models of Part I and Part II. It first develops the analysis of the linear Gaussian ... More


Inverse problems

Fox Colin, Haario Heikki, and Christen J Andrés

in Bayesian Theory and Applications

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199695607
eISBN:
9780191744167
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199695607.003.0031
Subject:
Mathematics, Probability / Statistics

This chapter discusses the features that are characteristic for the problems most typically treated under the umbrella of inverse problems. It begins by listing representative examples of inverse ... More


The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web

Peter Pirolli

in Adaptive Perspectives on Human–Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction

Published in print:
2009
Published Online:
March 2012
ISBN:
9780195374827
eISBN:
9780199847693
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195374827.003.0022
Subject:
Psychology, Cognitive Psychology

This chapter summarizes information foraging research on use of the World Wide Web (the Web). The particular focus is placed on a psychological theory of information scent that is embedded in a ... More


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