38) and (2.40) Let ?(· | X (n) ) be the induced posterior distribution on M 0 . Then, as n ? ?, Publications All papers are available on my webpage http Penalized profile likelihood methods and second order properties in semiparametric models, Suppose the prior parameters satisfy (3.33), 2006. ,
Exact adaptive estimation of the shape of a periodic function with unknown period corrupted by white noise, Mathematical Methods of Statistics, vol.15, pp.146-175, 2006. ,
Semi-parametric second-order efficient estimation of the period of a signal, Bernoulli, vol.13, issue.4, pp.910-932, 2007. ,
DOI : 10.3150/07-BEJ5077
Lower bounds for posterior rates with Gaussian process priors, Electronic Journal of Statistics, vol.2, issue.0, pp.1281-1299, 2008. ,
DOI : 10.1214/08-EJS273
Estimation of the distribution of random shifts deformation, Mathematical Methods of Statistics, vol.18, issue.1, pp.21-42, 2009. ,
DOI : 10.3103/S1066530709010025
URL : https://hal.archives-ouvertes.fr/hal-00347826
Semiparametric shift estimation based on the cumulated periodogram for non-regular functions, Electronic Journal of Statistics, vol.5, issue.0, pp.102-126, 2011. ,
DOI : 10.1214/11-EJS599
URL : https://hal.archives-ouvertes.fr/hal-00644346
A semiparametric Bernstein-von Mises theorem for Gaussian process priors. Probability Theory and Related Fields 152, pp.53-99, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00660164
Semiparametric Bernstein?von Mises theorem and bias, illustrated with Gaussian process priors. Sankhya A 74, pp.194-221, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00835216
Needles and straw in a haystack: posterior concentration for possibly sparse sequences. The Annals of Statistics 40, pp.2069-2101, 2012. ,
Nonparametric Bernstein?von Mises theorems in Gaussian white noise. The Annals of Statistics 41, 1999. ,
Thomas Bayes' walk on manifolds. Probability Theory and Related Fields 158, pp.665-710, 2014. ,
DOI : 10.1007/s00440-013-0493-0
URL : https://hal.archives-ouvertes.fr/hal-00976006
On Bayesian Supremum norm contraction rates. The Annals of Statistics, pp.2058-2091, 2014. ,
DOI : 10.1214/14-aos1253
URL : http://arxiv.org/abs/1304.1761
A Bernstein???von Mises theorem for smooth functionals in semiparametric models, The Annals of Statistics, vol.43, issue.6, 2013. ,
DOI : 10.1214/15-AOS1336SUPP
URL : https://hal.archives-ouvertes.fr/hal-01226838
On the Bernstein?von Mises phenomenon for nonparametric Bayes procedures. The Annals of Statistics, 1941. ,
URL : https://hal.archives-ouvertes.fr/hal-01092737
Bayesian linear regression with sparse priors, The Annals of Statistics, vol.43, issue.5, 2014. ,
DOI : 10.1214/15-AOS1334SUPP
URL : https://hal.archives-ouvertes.fr/hal-01226832
Adapting to unknown sparsity by controlling the false discovery rate, The Annals of Statistics, vol.34, issue.2, pp.584-653, 2006. ,
DOI : 10.1214/009053606000000074
Contributions to statistical learning in sparse models. Habilitation à diriger des recherches, 2013. ,
URL : https://hal.archives-ouvertes.fr/tel-00915505
PAC-Bayesian bounds for sparse regression estimation with exponential weights, Electronic Journal of Statistics, vol.5, issue.0, pp.127-145, 2011. ,
DOI : 10.1214/11-EJS601
URL : https://hal.archives-ouvertes.fr/hal-00465801
Estimation and variable selection with exponential weights, Electronic Journal of Statistics, vol.8, issue.1, pp.328-354, 2014. ,
DOI : 10.1214/14-EJS883
URL : http://projecteuclid.org/download/pdfview_1/euclid.ejs/1397826704
The exponential convergence of posterior probabilities with implications for Bayes estimators of density functions, 1988. ,
The consistency of posterior distributions in nonparametric problems, Ann. Statist, vol.27, pp.536-561, 1999. ,
AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES, Biometrika, vol.45, issue.3-4, pp.370-418, 1763. ,
DOI : 10.1093/biomet/45.3-4.296
Adaptive Bayesian inference on the mean of an infinite-dimensional normal distribution, pp.536-559, 2003. ,
Anisotropic function estimation using multi-bandwidth Gaussian processes, The Annals of Statistics, vol.42, issue.1, pp.352-381, 2014. ,
DOI : 10.1214/13-AOS1192
The semiparametric Bernstein???von Mises theorem, The Annals of Statistics, vol.40, issue.1, pp.206-237, 2012. ,
DOI : 10.1214/11-AOS921
Simultaneous analysis of Lasso and Dantzig selector, The Annals of Statistics, vol.37, issue.4, pp.1705-1732, 2009. ,
DOI : 10.1214/08-AOS620
URL : https://hal.archives-ouvertes.fr/hal-00401585
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Robust tests for model selection, Inst. Math. Stat. (IMS) Collect. Inst. Math. Statist, vol.9, pp.47-64, 2013. ,
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About the non-asymptotic behaviour of Bayes estimators Arxiv preprint arXiv:1402, 2014. ,
Gaussian model selection, Journal of the European Mathematical Society, vol.3, issue.3, pp.203-268, 2001. ,
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Bernstein???von Mises theorems for Gaussian regression with increasing number of regressors, The Annals of Statistics, vol.39, issue.5, pp.2557-2584, 2011. ,
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Evolutionary stochastic search for Bayesian model exploration, Bayesian Analysis, vol.5, issue.3, pp.583-618, 2010. ,
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A Bernstein-Von Mises Theorem for discrete probability distributions, Electronic Journal of Statistics, vol.3, issue.0, pp.114-148, 2009. ,
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Statistics for High-dimensional Data, 2011. ,
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Correlated variables in regression: Clustering and sparse estimation, Journal of Statistical Planning and Inference, vol.143, issue.11, pp.1835-1858, 2013. ,
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The Dantzig selector: Statistical estimation when p is much larger than n, The Annals of Statistics, vol.35, issue.6, pp.2313-2351, 2007. ,
DOI : 10.1214/009053606000001523
The horseshoe estimator for sparse signals, Biometrika, vol.97, issue.2, pp.465-480, 2010. ,
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Statistical learning theory and stochastic optimization Lecture Notes in Mathematics. Lecture notes from the 31st Summer School on Probability Theory held in Saint- Flour, 2001. ,
Reference priors for exponential families with increasing dimension, Electronic Journal of Statistics, vol.4, issue.0, pp.737-780, 2010. ,
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Wavelets on the Interval and Fast Wavelet Transforms, Applied and Computational Harmonic Analysis, vol.1, issue.1, pp.54-81, 1993. ,
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An Analysis of Bayesian Inference for Nonparametric Regression, The Annals of Statistics, vol.21, issue.2, pp.903-923, 1993. ,
DOI : 10.1214/aos/1176349157
Aggregation by Exponential Weighting and Sharp Oracle Inequalities, In: Learning theory. Lecture Notes in Comput. Sci, vol.4539, pp.97-111, 2007. ,
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URL : https://hal.archives-ouvertes.fr/hal-00160857
On the consistency of Bayes estimates. Ann. Statist. 14 With a discussion and a rejoinder by the authors, pp.1-67, 1986. ,
Stable recovery of sparse overcomplete representations in the presence of noise, IEEE Transactions on Information Theory, vol.52, issue.1, pp.6-18, 2006. ,
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Maximum entropy and the nearly black object, J. Roy. Statist. Soc. Ser. B, vol.54, pp.41-81, 1992. ,
Wavelet shrinkage: asymptopia? J. Roy. Statist. Soc. Ser. B 57 With discussion and a reply by the authors, pp.301-369, 1995. ,
Application of the theory of martingales " . In: Le Calcul des Probabilités et ses Applications, Colloques Internationaux du CNRS CNRS, issue.13, pp.23-27, 1949. ,
Real analysis and probability, p.555, 2002. ,
DOI : 10.1017/CBO9780511755347
On sharp adaptive estimation of multivariate curves, Math. Methods Statist, vol.9, pp.117-139, 2000. ,
Asymptotic Behavior of Bayes' Estimates, The Annals of Mathematical Statistics, vol.35, issue.2, pp.846-856, 1964. ,
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A Bayesian Analysis of Some Nonparametric Problems, The Annals of Statistics, vol.1, issue.2, pp.209-230, 1973. ,
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On the Bernstein-von Mises theorem with infinite-dimensional parameters, Ann. Statist, vol.27, pp.1119-1140, 1999. ,
On the Asymptotic Behavior of Bayes' Estimates in the Discrete Case, The Annals of Mathematical Statistics, vol.34, issue.4, pp.1386-1403, 1963. ,
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The Variable Selection Problem, Journal of the American Statistical Association, vol.7, issue.2, pp.1304-1308, 2000. ,
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Calibration and empirical Bayes variable selection, Biometrika, vol.87, issue.4, pp.731-747, 2000. ,
DOI : 10.1093/biomet/87.4.731
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3731
Consistency issues in Bayesian nonparametrics, Asymptotics, nonparametrics, and time series, pp.639-667, 1999. ,
Convergence rates of posterior distributions, The Annals of Statistics, vol.28, issue.2, pp.500-531, 2000. ,
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Convergence rates of posterior distributions for noniid observations, The Annals of Statistics, vol.35, issue.1, pp.192-223, 2007. ,
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Rates of contraction for posterior distributions in Lr-metrics, 1 ??? r ??? ???, The Annals of Statistics, vol.39, issue.6, pp.2883-2911, 2011. ,
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Confidence bands in density estimation, The Annals of Statistics, vol.38, issue.2, pp.1122-1170, 2010. ,
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Reconstruction of sparse vectors in white Gaussian noise, Problemy Peredachi Informatsii 38, pp.75-91, 2002. ,
Heat kernel and analysis on manifolds, AMS/IP Studies in Advanced Mathematics, vol.47, p.482, 2009. ,
Wavelets, approximation, and statistical applications Lecture Notes in Statistics, p.265, 1998. ,
On adaptive posterior concentration rates. Arxiv preprint arXiv:1305, 2013. ,
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URL : https://hal.archives-ouvertes.fr/hal-01251098
Spike and slab variable selection: Frequentist and Bayesian strategies, The Annals of Statistics, vol.33, issue.2, pp.730-773, 2005. ,
DOI : 10.1214/009053604000001147
URL : http://arxiv.org/abs/math/0505633
General maximum likelihood empirical Bayes estimation of normal means, The Annals of Statistics, vol.37, issue.4, pp.1647-1684, 2009. ,
DOI : 10.1214/08-AOS638
Needles and straw in haystacks: empirical Bayes estimates of possibly sparse sequences, Ann. Statist, vol.32, pp.1594-1649, 2004. ,
Adaptive nonparametric Bayesian inference using location-scale mixture priors, The Annals of Statistics, vol.38, issue.6, pp.3300-3320, 2010. ,
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Minimax or maxisets? Bernoulli 8, pp.219-253, 2002. ,
Learning out of leaders, pp.295-324, 2009. ,
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The Bernstein???von Mises theorem for the proportional hazard model, The Annals of Statistics, vol.34, issue.4, pp.1678-1700, 2006. ,
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A Bernstein-von Mises theorem in the nonparametric right-censoring model, Ann. Statist, vol.32, pp.1492-1512, 2004. ,
Completely random measures, Pacific Journal of Mathematics, vol.21, issue.1, pp.59-78, 1967. ,
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Some Aspects of Polya Tree Distributions for Statistical Modelling, The Annals of Statistics, vol.20, issue.3, pp.1222-1235, 1992. ,
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On the Bernstein-von Mises phenomenon in the Gaussian white noise model, Electronic Journal of Statistics, vol.5, issue.0, pp.373-404, 2011. ,
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The Logistic Normal Distribution for Bayesian, Nonparametric, Predictive Densities, Journal of the American Statistical Association, vol.20, issue.402, pp.509-516, 1988. ,
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Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators, Electronic Journal of Statistics, vol.2, issue.0, pp.90-102, 2008. ,
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Application of convolution theorems in semiparametric models with non-i.i.d. data, Journal of Statistical Planning and Inference, vol.91, issue.2, pp.441-480, 2000. ,
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Exponential Screening and optimal rates of sparse estimation, The Annals of Statistics, vol.39, issue.2, pp.731-771, 2011. ,
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Bernstein???von Mises theorem for linear functionals of the density, The Annals of Statistics, vol.40, issue.3, pp.1489-1523, 2012. ,
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EMVS: The EM Approach to Bayesian Variable Selection, Journal of the American Statistical Association To appear, 2014. ,
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density, The Annals of Statistics, vol.38, issue.1, pp.146-180, 2010. ,
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A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection. ArXiv e-prints arXiv 1312, 2013. ,
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Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem, The Annals of Statistics, vol.38, issue.5, pp.2587-2619, 2010. ,
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Asymptotic Normality of Semiparametric and Nonparametric Posterior Distributions, Journal of the American Statistical Association, vol.97, issue.457, pp.222-235, 2002. ,
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Rates of convergence of posterior distributions, Ann. Statist, vol.29, pp.687-714, 2001. ,
Frequentist coverage of adaptive nonparametric Bayesian credible sets Arxiv preprint arXiv, pp.1310-4489, 2013. ,
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Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth, The Annals of Statistics, vol.37, issue.5B, pp.2655-2675, 2009. ,
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Rates of contraction of posterior distributions based on Gaussian process priors, The Annals of Statistics, vol.36, issue.3, pp.1435-1463, 2008. ,
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Information rates of nonparametric Gaussian process methods, J. Mach. Learn. Res, vol.12, pp.2095-2119, 2011. ,
Reproducing kernel Hilbert spaces of Gaussian priors, IMS Collections, vol.3, pp.200-222, 2008. ,
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New approaches to Bayesian consistency, The Annals of Statistics, vol.32, issue.5, pp.2028-2043, 2004. ,
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On rates of convergence for posterior distributions in infinite-dimensional models, The Annals of Statistics, vol.35, issue.2, pp.738-746, 2007. ,
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Efficient Empirical Bayes Variable Selection and Estimation in Linear Models, Journal of the American Statistical Association, vol.100, issue.472, pp.1215-1225, 2005. ,
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Nearly unbiased variable selection under minimax concave penalty, The Annals of Statistics, vol.38, issue.2, pp.894-942, 2010. ,
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The sparsity and bias of the Lasso selection in high-dimensional linear regression, The Annals of Statistics, vol.36, issue.4, pp.1567-1594, 2008. ,
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Bayesian aspects of some nonparametric problems, The Annals of Statistics, vol.28, issue.2, pp.532-552, 2000. ,
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