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Semiparametric posterior limits under local asymptotic exponentiality
v1v2v3 (latest)

Semiparametric posterior limits under local asymptotic exponentiality

23 October 2012
B. Kleijn
B. Knapik
ArXiv (abs)PDFHTML

Papers citing "Semiparametric posterior limits under local asymptotic exponentiality"

9 / 9 papers shown
Title
Testing monotonicity via local least concave majorants
Testing monotonicity via local least concave majorants
N. Akakpo
F. Balabdaoui
C. Durot
61
15
0
07 Mar 2014
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
I. Castillo
Richard Nickl
169
147
0
19 Aug 2012
Bayesian semi-parametric estimation of the long-memory parameter under
  FEXP-priors
Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors
W. Kruijer
Judith Rousseau
69
7
0
22 Feb 2012
Bayesian inverse problems with Gaussian priors
Bayesian inverse problems with Gaussian priors
B. Knapik
A. van der Vaart
J. H. Zanten
123
228
0
14 Mar 2011
Bernstein von Mises Theorems for Gaussian Regression with increasing
  number of regressors
Bernstein von Mises Theorems for Gaussian Regression with increasing number of regressors
D. Bontemps
157
74
0
07 Sep 2010
The semiparametric Bernstein-von Mises theorem
The semiparametric Bernstein-von Mises theorem
Peter J. Bickel
B. Kleijn
169
127
0
01 Jul 2010
Nonparametric "regression" when errors are positioned at end-points
Nonparametric "regression" when errors are positioned at end-points
P. Hall
Ingrid Van Keilegom
132
17
0
04 Sep 2009
Bernstein Von Mises Theorem for linear functionals of the density
Bernstein Von Mises Theorem for linear functionals of the density
Vincent Rivoirard
Judith Rousseau
154
122
0
28 Aug 2009
A Bernstein-Von Mises Theorem for discrete probability distributions
A Bernstein-Von Mises Theorem for discrete probability distributions
S. Boucheron
Elisabeth Gassiat
475
49
0
14 Jul 2008
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