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A General Framework for Updating Belief Distributions
v1v2 (latest)

A General Framework for Updating Belief Distributions

27 June 2013
Pier Giovanni Bissiri
Chris Holmes
S. Walker
ArXiv (abs)PDFHTML

Papers citing "A General Framework for Updating Belief Distributions"

4 / 204 papers shown
Title
Leave Pima Indians alone: binary regression as a benchmark for Bayesian
  computation
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
Nicolas Chopin
James Ridgway
105
76
0
29 Jun 2015
On the properties of variational approximations of Gibbs posteriors
On the properties of variational approximations of Gibbs posteriors
Pierre Alquier
James Ridgway
Nicolas Chopin
118
257
0
12 Jun 2015
Gibbs posterior inference on the minimum clinically important difference
Gibbs posterior inference on the minimum clinically important difference
Nicholas Syring
Ryan Martin
84
17
0
08 Jan 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and
  a Proposal for Repairing It
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
Peter Grünwald
T. V. Ommen
147
268
0
11 Dec 2014
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