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) doi:10.1016/j.csda.2008.07.007
Harold Jeffreys’s Theory of Probability Revisited
 Robert, C Chopin, N Rousseau, J Statistical Science volume 24 issue 2 141-172 (01 May 2009) doi:10.1214/09-sts284
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) doi:10.1214/09-sts284rej
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) doi:10.1214/09-aos703
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) doi:10.1214/aos/1051027882
Intrinsic credible regions: An objective Bayesian approach to interval estimation
 Bernardo, J TEST volume 14 issue 2 317-384 (Dec 2005) doi:10.1007/bf02595408
Asymptotic Bayes risks for a general class of losses
 Rousseau, J Statistics & Probability Letters volume 35 issue 2 115-121 (Sep 1997) doi:10.1016/s0167-7152(97)00004-7
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) doi:10.1017/s0266466600162048
Noninformative Priors for the Bivariate Fieller-Creasy Problem
 Ghosh, M Rousseau, J Kim, D Statistics & Risk Modeling volume 19 issue 3 277-288 (01 Mar 2001) doi:10.1524/strm.2001.19.3.277
Rates of Convergence for a Bayesian Level Set Estimation
 GAYRAUD, G ROUSSEAU, J Scandinavian Journal of Statistics volume 32 issue 4 639-660 (10 Dec 2005) doi:10.1111/j.1467-9469.2005.00448.x
Subscribe to