Non-informative priors in the case of Gaussian long-memory processes
Philippe, A
Rousseau, J
Bernoulli
volume 8
issue 4
451-473
(01 Aug 2002)
Bounds for Bayesian order identification with application to mixtures
Chambaz, A
Rousseau, J
The Annals of Statistics
volume 36
issue 2
938-962
(01 Apr 2008)
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis
Nur, D
Allingham, D
Rousseau, J
Mengersen, K
McVinish, R
Computational Statistics & Data Analysis
volume 53
issue 5
1873-1882
(Mar 2009)
Harold Jeffreys’s Theory of Probability Revisited
Robert, C
Chopin, N
Rousseau, J
Statistical Science
volume 24
issue 2
141-172
(01 May 2009)
Rejoinder: Harold Jeffreys’s Theory of Probability Revisited
Robert, C
Chopin, N
Rousseau, J
Statistical Science
volume 24
issue 2
191-194
(01 May 2009)
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density
Rousseau, J
The Annals of Statistics
volume 38
issue 1
146-180
(01 Feb 2010)
Valid asymptotic expansions for the maximum likelihood estimator of the parameter of a stationary, Gaussian, strongly dependent process
Lieberman, O
Rousseau, J
Zucker, D
The Annals of Statistics
volume 31
issue 2
586-612
(01 Apr 2003)
Intrinsic credible regions: An objective Bayesian approach to interval estimation
Bernardo, J
TEST
volume 14
issue 2
317-384
(Dec 2005)
Asymptotic Bayes risks for a general class of losses
Rousseau, J
Statistics & Probability Letters
volume 35
issue 2
115-121
(Sep 1997)
SMALL-SAMPLE LIKELIHOOD-BASED INFERENCE IN THE ARFIMA MODEL
Lieberman, O
Rousseau, J
Zucker, D
Econometric Theory
volume 16
issue 2
231-248
(01 Apr 2000)