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- Currently displaying 2261 - 2278 of 2278 publications
MARGINALIZATION PARADOXES IN BAYESIAN AND STRUCTURAL INFERENCE
– JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
(1973)
35,
189
Posterior expectations for large observations
– Biometrika
(1973)
60,
664
(doi: 10.1093/biomet/60.3.664)
Combining possibly related estimation problems
– Journal of the Royal Statistical Society. Series B. Methodological
(1973)
35,
379
Expectation consistency of inverse probability distributions
– Biometrika
(1972)
59,
486
(doi: 10.1093/biomet/59.2.486)
Bayes estimates for the linear model
– Journal of the Royal Statistical Society. Series B. Methodological
(1972)
34,
1
Un-Bayesian implications of improper Bayes inference in routine statistical problems
– Biometrika
(1972)
59,
369
(doi: 10.1093/biomet/59.2.369)
ON LIMITING NORMALITY OF POSTERIOR DISTRIBUTIONS
– PROCEEDINGS OF THE CAMBRIDGE PHILOSOPHICAL SOCIETY-MATHEMATICAL AND PHYSICAL SCIENCES
(1970)
67,
625
Local scoring rules for spatial processes
– A St A: Advances in Statistical Analysis
Diffusions, Markov Processes, and Martingales, VOlume 2
On statistical inference for non-linear dynamical systems evolving in their global attractor
– Arxiv
Data assimilation with the 2D Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure
– Annals of Statistics
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Discussion of Adaptive confidence intervals for the test error in classification by Laber and Murphy
– Journal of the American Statistical Association
On statistical inference for non-linear dynamical systems evolving in their global attractor
Liouville quantum gravity as a metric space and a scaling limit
– Proceedings of the International Congress of Mathematicians
Random labelled trees and their branching networks
– Australian Mathematical Society. Journal. Series A
30,
229
Diffusions, Markov Processes, and Martingales, Volume 1
Data assimilation with the 2D Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure