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Empirical priors and posterior concentration in a piecewise polynomial
  sequence model

Empirical priors and posterior concentration in a piecewise polynomial sequence model

11 December 2017
Chang Liu
Ryan Martin
Weining Shen
ArXivPDFHTML

Papers citing "Empirical priors and posterior concentration in a piecewise polynomial sequence model"

15 / 15 papers shown
Title
Bayesian Dyadic Trees and Histograms for Regression
Bayesian Dyadic Trees and Histograms for Regression
S. V. D. Pas
Veronika Rockova
65
22
0
31 Jul 2017
Empirical priors and posterior concentration rates for a monotone
  density
Empirical priors and posterior concentration rates for a monotone density
Ryan Martin
9
11
0
26 Jun 2017
On Estimation of Isotonic Piecewise Constant Signals
On Estimation of Isotonic Piecewise Constant Signals
Chao Gao
Fang Han
Cun-Hui Zhang
20
31
0
18 May 2017
Approximate $l_0$-penalized estimation of piecewise-constant signals on
  graphs
Approximate l0l_0l0​-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
51
21
0
04 Mar 2017
Adaptive posterior contraction rates for the horseshoe
Adaptive posterior contraction rates for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
17
70
0
13 Feb 2017
Bayesian fractional posteriors
Bayesian fractional posteriors
A. Bhattacharya
D. Pati
Yun Yang
58
107
0
03 Nov 2016
Data-driven priors and their posterior concentration rates
Data-driven priors and their posterior concentration rates
Ryan Martin
S. Walker
28
9
0
19 Apr 2016
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
69
265
0
11 Dec 2014
Wild binary segmentation for multiple change-point detection
Wild binary segmentation for multiple change-point detection
Piotr Fryzlewicz
56
650
0
04 Nov 2014
Empirical Bayes posterior concentration in sparse high-dimensional
  linear models
Empirical Bayes posterior concentration in sparse high-dimensional linear models
Ryan Martin
Raymond Mess
S. Walker
77
103
0
30 Jun 2014
Asymptotically minimax empirical Bayes estimation of a sparse normal
  mean vector
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
Ryan Martin
S. Walker
44
65
0
27 Apr 2013
Multiscale Change-Point Inference
Multiscale Change-Point Inference
K. Frick
Axel Munk
H. Sieling
106
341
0
30 Jan 2013
Needles and Straw in a Haystack: Posterior concentration for possibly
  sparse sequences
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences
I. Castillo
A. van der Vaart
54
251
0
06 Nov 2012
Rényi Divergence and Kullback-Leibler Divergence
Rényi Divergence and Kullback-Leibler Divergence
T. Erven
P. Harremoes
37
1,326
0
12 Jun 2012
General maximum likelihood empirical Bayes estimation of normal means
General maximum likelihood empirical Bayes estimation of normal means
Wenhua Jiang
Cun-Hui Zhang
287
214
0
12 Aug 2009
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