1. Theoretical papers
2. Methodological Papers.
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N. Chopin, J. Rousseau and B. Liseo (2013) Computational aspects of Bayesian spectral density estimation. JCGS - to appear
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R. Mc Vinish, K. Mengersen, J. Rousseau, D. Nur and C. Guihenneuc, (2011): Recentered importance sampling with applications to Bayesian Model validation. Journ. Comp. Graph. Statist.
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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.
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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.
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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
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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.
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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.
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S.L. Choy, K. Mengersen, J. Rousseau (2008): Encoding Expert Opinion on Skewed Non-Negative Distributions. Journ. Appl. Probab. Statist. 3
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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.
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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.
4. Discussions
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Robert, C.P. and Rousseau (2011) J. Discussion on Bernardo's Integrated objective Bayesian estimation and hypothesis testing. Bayesian Statistics 9
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Rousseau, J. and Robert, C.P. (2011) Discussion on Consonni and LaRocca's On moment priors for Bayesian model choice. Bayesian Statistics 9
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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.
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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
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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
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Robert, C.P. and Rousseau, J.(2009): On Bayesian Data Analysis . In "Bayesian Methods and Expert Elicitation", Risk Book, London
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Robert, C.P, Marin, J.M. and Rousseau, J. (2010) Bayesian inference. In Handbook of Statistical Systems Biology
6. Preprints
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Z. van Havre, N. White, K. Mengersen and J. Rousseau (2013) Investigating the number of components in an overfitted Gaussian mixture model.
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I. Castillo and J. Rousseau (2013). A general Bernstein von Mises Theorem in semi-parametric models.
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M. Hoffmann, J. Rousseau and J. Schmidt-Hieber (2013). On adaptive posterior concentration rates.
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J. Rousseau, J-B. Salomond and C. Scricciolo (2013) On some aspects of the asymptotic properties of Bayesian approaches in nonparametric and semiparametric models
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E. Gassiat and J. Rousseau (2013) : Nonparametric finite translation mixtures with dependent regimes
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S. Donnet and J. Rousseau (2013) : Bayesian inference for partially observed branching processes.
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W. Kruijer and J. Rousseau (2012) : Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors.
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W. Kruijer and J. Rousseau (2012) : Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors - Supplementary material.
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J. Rousseau and T. Choi (2011) Bayes factor consistency in regression problems.
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S. Khazaei, J. Rousseau and F. Balabdaoui (2010) Nonparametric Bayesian estimation of densities under monotonicity constraint
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J. Rousseau and W. Kruijer (2011) Adaptive Bayesian Estimation of a spectral density.
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Wraith D, Mengersen K, Rousseau J. and Hussein T. (2009) A Bayesian hierarchical mixture model for aerosol particle size distributions
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C. Robert et J. Rousseau (2003): Bayesian Goodness of Fit -A Mixture Approach to Bayesian Goodness of Fit.
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J. Rousseau and I. Skovgaard (2003): On the error rate for asymptotic chi-squared distributions in the lattice case.
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J. Rousseau (1997): Asymptotic coverages of joint two-sided intervals.
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