1. Theoretical papers:
- T. Choi and J. Rousseau (2015) A note on Bayes factor consistency in partial linear models. JSPI
- I. Castillo and J. Rousseau (2015). A general Bernstein von Mises Theorem in semi-parametric models. Annals of Statistics arxiv
- M. Hoffmann, J. Rousseau and J. Schmidt-Hieber (2015). On adaptive posterior concentration rates. Annals of Statistics arxiv
- J. Rousseau (2015) On the frequentist properties of Bayesian nonparametric methods. Annual Statistical reviews . pdf
- S. Donnet, V. Rivoirard, J. Rousseau and C. Scricciolo (2015) Posterior concentration rates for Aalen counting processes. Bayesian Analysis
- E. Gassiat and J. Rousseau (2014) : Nonparametric finite translation hidden Markov models and extensions. Bernoulli link - HAL
- W. Kruijer and J. Rousseau (2012) : Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors. EJS pdf
- W. Kruijer and J.
Rousseau (2012) : Bayesian semi-parametric estimation of the
long-memory parameter under FEXP-priors - Supplementary material. EJS pdf
- S. Petrone, J. Rousseau and C. Scriocciolo (2013) : Bayes and empirical Bayes : Do they merge? To appear in Biometrika pdf
- J.M. Marin, N. Pillai, C.P. Robert and J. Rousseau (2013) Relevant statistics for Bayesian model choice. To appear in JRSS B pdf
- E. Gassiat and J. Rousseau (2013) : On the asymptotic behaviour of the posterior distribution
in hidden Markov Models. To appear in Bernoulli pdf
- J. Arbel, G. Gayraud and J. Rousseau (2013) Bayesian optimal estimation using a sieve prior. Scandinavian J. Statist. 40, 549–570 Arxiv
- V. Rivoirard and J. Rousseau (2012) Bernstein-von Mises Theorem for linear functionals of the density Annals of Statistics, 40, 1489-152 pdf
- McVinish,
R. Mengersen, K., Rousseau J., Nur, D. and Guihenneuc C. (2012) :
Recentered importance sampling with applications to Bayesian model
validation. JCGS. pdf
- V. Rivoirard and J. Rousseau (2011) Posterior concentration rates for infinite dimensional exponential families. Bayesian Analysis pdf
- J. Rousseau, N. Chopin and B. Liseo (2012) Bayesian nonparametric
estimation of the spectral density of a long or intermediate memory
Gaussian process Annals of Statist. pdf
- J. Rousseau and K. Mengersen (2011) Asymptotic behaviour of the posterior distribution in overfitted models. JRSSB. pdf
- Lieberman,
O., Rosemarin, R. and Rousseau, J. (2010) : Asymptotic Theory for
Maximum Likelihood Estimation of the Memory Parameter in Stationary
Gaussian Processess. Econometric Theory pdf
- W. Kruijer, J. Rousseau and A. van der Vaart (2010) Adaptive Bayesian Density Estimation with Location-Scale Mixtures . Electronic Journal of Statistics pdf
- J. Rousseau (2009) :
Rates of convergence for the posterior distributions of mixtures of
betas and adaptive nonparamatric estimation of the density. Annals of Statistics, pdf
- C.P. Robert, N. Chopin and J. Rousseau (2009) : Harold Jeffreys' theory of probability revisited. Statistical Science
- R.McVinish,
J. Rousseau and K. Mengerson (2008): Bayesian Goodness-of-Fit Testing with
Mixtures of Triangular Distributions. Scandinavian journal of statistics pdf
- D.
Fraser and J. Rousseau (2008) : Studentization and the determination of
p-values. Biometrika 95, 1-16. pdf
- A.
Chambaz and J. Rousseau (2008): Bounds for Bayesian order identification
with application to mixtures. Annals of Statistics, 36, 938-962 pdf
- J.
Rousseau (2007): Approximating Interval hypothesis : p-values and Bayes
factors. Bayesian Statistics 8 (J. M. Bernardo, J. O. Berger, A.
P. Dawid and A. F. M. Smith, eds.) Oxford: University Press. pdf
- G.
Gayraud and J. Rousseau (2005): Rates of convergence for a Bayesian level
set estimation. Scand. Journ. Statist. 14, 1, 75-94. ps
- G.
Gayraud and J. Rousseau (2005): Consistency results on nonparametric Bayesian
estimation of level sets using spatial priors. test pdf
- C.
Guihenneuc et J. Rousseau (2005): Laplace expansions in MCMC algorithms
for latent variable models. Journal of Computational and Graphical Statistics. 32 (4), 639-660.
- O.
Lieberman, J. Rousseau, D. Zucker (2003): Valid asymptotic expansions for
the maximum likelihood estimator of the parameter of a stationary, Gaussian,
strongly dependent process, Annals of Statistics, 31, 586-612.
- A.
Philippe, J. Rousseau (2003) : Non-informative priors for Gaussian long-memory
processes, Bernoulli, 8, 451-473.
- D.
Zucker, J. Rousseau, A. Philippe et O. Lieberman (2003) : Asymptotic expansions
for long-memory stationary Gaussian processes. In Foundations of Statistical
Inference, Y.Haitovsky, H.R. Lerche, Y. Ritov (eds.). Physica-Verlag,
Heidelberg.
- J.
Rousseau (2002) : Coverage properties of HPD regions in the discrete case,
Journal of Multivariate Analysis, 83,1-21.
- M.
Ghosh, J. Rousseau, D. Kim (2001) : Non-informative priors for the bivariate
Fieller-Creasy problem, Statistics and Decisions, 19, No.
3, 227.
- O.
Lieberman, J. Rousseau, D. Zucker (2001) : Small sample asymptotics for
the sample autocorrelation function under long-range dependence, Econometric
theory, 17, No.1, 257-275.
- O.
Lieberman, J. Rousseau et D. Zucker (2000) : Small sample Likelihood-based
inference in the ARFIMA model, Econometric theory, 16, No.
2, 231-248 .
- J.
Rousseau (2000) : Coverage properties of one-sided intervals in the
discrete case and applications to matching priors, Annals of the Institute
of statistical mathematics, 52, no 1, 28-42.
- J.
Rousseau (1997) : Asymptotic Bayes risk for a general class of losses, Statistics
and Probability Letters, 35, 115-121.
2. Methodological Papers.
- Z.
van Havre, N. White, K. Mengersen and J. Rousseau (2015) Overfitting Bayesian Mixture Models with an Unknown Number of Components. PLoS ONE 10(7):e0131739. doi: 10.1371/journal.pone.0131739. link
- S. Donnet and J. Rousseau (2014) : Bayesian inference for partially observed branching processes. Bayesian Analysis link - HAL
- N. Chopin, J. Rousseau and B. Liseo (2013) Computational aspects of Bayesian spectral density estimation. JCGS, to appear pdf
- I. Albert, S. Donnet,
C. Guihenneuc-Jouyaux, S. Low-Choi, K. Mengersen and J. Rousseau (2012)
Combining expert opinions in prior elicitation. Bayesian Analysis, with discussion pdf
- D. Gadja, C. Guihenneuc, J. Rousseau, K. Mengersen and D.
Nur (2010): Use in practice of importance sampling for repeated MCMC
for Poisson models. Elect. Journ. Statist.
- P.
Muller, C. Robert and J. Rousseau (2006) : Sample Size Choice for Microarray
Experiments In Bayesian Inference for Gene Expression and Proteomics.
(eds. K.-A. Do, P.Muller and M.Vannucci). Cambridge University Press.
- P.
Muller, G. Parimigiani, C. Robert et J. Rousseau (2004): Optimal sample
sizes for multiple testing: the case of gene expression microarrays.
J.A.S.A., T. & M, 99, 990-1001.
3. Applied papers
- Wraith
D, Mengersen
K, Rousseau J. and Hussein T. (2013) Using informative priors in the
estimation of mixtures over time with application to aerosol particle
size distribution. Annals of applied statistics.
- D.
Nur, D. Allingham, J. Rousseau, K. Mengersen and R. McVinish (2008) :
Bayesian analysis of DNA sequence segmentation: A prior sensitivity
analysis . Comp. Statist. Data Anal.
- S.L. Choy, K. Mengersen, J. Rousseau (2008): Encoding Expert Opinion on Skewed Non-Negative Distributions. Journ. Appl. Probab. Statist. 3
- I.
Albert, E. Grenier, J.B. Denis et J. Rousseau (2006) : Quantitative Risk
Assessement from Farm to Fork and Beyond: a global Bayesian approach concerning
food-borne diseases. Risk Analysis. 28:2, 558-571.
- Nur
Darfiana, Allingham David, Rousseau J, Mengersen K L and McVinish (2007):
Bayesian analysis of DNA sequence segmentation: A prior sensitivity analysis
. Comp. Statist. Data Anal. pdf
4. Discussions
- Rousseau,
J. (2015) Discussion of " Frequentist coverage of adaptive Bayesian
credible sets" by Szabo, B., van der Vaart, A. and van Zanten, H.
Annals of Statistics
- Rousseau, J. (2015) Discussion of "Overall Objective Priors", by J.O. Berger, J.M. Bernardo, and D. Sun Bayesian Analysis
- Robert, C.P. and Rousseau (2011) J. Discussion on Bernardo's Integrated objective Bayesian estimation and hypothesis testing. Bayesian Statistics 9
- Rousseau, J. and Robert, C.P. (2011) Discussion on Consonni and LaRocca's On moment priors for Bayesian model choice. Bayesian Statistics 9
- J. Rousseau (2004): Discussion sur : Bayesian inference for Elliptical linear
models: Conjugate analysis and model comparison by C.R.B.
Arellano-Valle, P. Iglesias, I. Vidal, Bayesian Statistics 7, eds
J. M. Bernardo et {\it al.}, Amsterdam: North Holland.
- C.
Robert et J. Rousseau (2004) : Discussion sur : Bayesian and Frequentist
Multiple Testing, de C. Genovese et L. Wasserman. Bayesian Statistics
7, eds J. M. Bernardo et al.,Amsterdam: North Holland.
5. Book chapters
- J.
Rousseau, J-B. Salomond and C. Scricciolo (2013) On some aspects of the
asymptotic properties of Bayesian approaches in nonparametric and
semiparametric models. EsaimPS , Proceeding des journées MAS 2012 pdf
- N.
White, H. Johnson, P. Silburn, J. Rousseau and K. Merngersen (2012) :
Hidden Markov models for complex stochastic processes: A case study in
electrophysiology. In Case Studies in Bayesian Statistical Modelling and Analysis
- Robert, C.P. and Rousseau, J.(2009): On Bayesian Data Analysis . In "Bayesian Methods and Expert Elicitation", Risk Book, London
- Robert, C.P, Marin, J.M. and Rousseau, J. (2010) Bayesian inference. In Handbook of Statistical Systems Biology
- J.
Rousseau and B. Szabo (2015) Asymptotic behaviour of the empirical
Bayes posteriors associated to maximum marginal likelihood
estimator. link
- Z.
van Havre, J. Rousseau, N. White and K. Mengersen (2015) Overfitting hidden Markov models with an unknown number of states. pdf
- K. Kamary, K. Mengersen, C.P. Robert and J. Rousseau (2014) Testing hypotheses as a mixture estimation model link
- S. Donnet, V.
Rivoirard, J. Rousseau and C. Scricciolo (2014) Posterior concentration
rates for empirical Bayes procedures, with applications to Dirichlet
Process mixtures.
- J. Arbel, K.
Mengersen and J. Rousseau (2014) Bayesian nonparametric dependent model
for the study of diversity for species data.
- S. Khazaei, J. Rousseau and F. Balabdaoui (2010) Nonparametric Bayesian estimation of densities under monotonicity constraint pdf
- J. Rousseau and W. Kruijer (2011) Adaptive Bayesian Estimation of a spectral density. pdf
- C.
Robert et J. Rousseau (2003): Bayesian Goodness of Fit -A Mixture Approach
to Bayesian Goodness of Fit.
- J.
Rousseau and I. Skovgaard (2003): On the error rate for asymptotic chi-squared distributions in the lattice case.
- J.
Rousseau (1997): Asymptotic coverages of joint two-sided intervals.
-
J. Rousseau (1997) : Expansions of penalized likelihood ratio statistics
and consequences on Matching priors for HPD regions. Document de travail,
CREST, n° 9601.