0.25
0.5
0.75
1.25
1.5
1.75
2
What to do about M-open? A decision theoretic (distribution free) solution
Published on Jan 24, 20123479 Views
Related categories
Chapter list
What to do aboutM-open? a decision theoretic (distribution free) solution00:00
Motivating Example00:50
NP solution?02:00
M-closed - 103:17
M-closed - 204:32
M-open05:14
Decision Theory06:26
Utility of a model07:30
Priors forM-open, when no models are true08:38
Principle of Model Sufficiency12:40
Priors for M-open14:08
Interpretation of Ɵ015:11
Updating - 116:45
Utility of model to data18:59
Canonical forms for l(Ɵ, xi)20:05
Loss to prior23:24
Updating - 224:46
Best beliefs25:24
Points to Note26:07
Forms for l(Ɵ, xi)27:23
Illustration - 127:41
Illustration - 229:00
Full Bayesian Model29:15
General Bayesian Variable Selection30:29
Prior-predictive Utility30:42
RJ-MCMC run31:02
Posterior inclusion probabilities31:11
Further Points to Note31:46
Objective Bayes?32:22
Current work / Open Questions32:57