The following pages link to Judith Rousseau (Q247518):
Displaying 50 items.
- Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models (Q99261) (← links)
- (Q391839) (redirect page) (← links)
- Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors (Q391840) (← links)
- (Q447840) (redirect page) (← links)
- Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process (Q447843) (← links)
- About the posterior distribution in hidden Markov models with unknown number of states (Q470062) (← links)
- (Q516446) (redirect page) (← links)
- Bayesian inference for partially observed multiplicative intensity processes (Q516447) (← links)
- Adaptive density estimation based on a mixture of gammas (Q521332) (← links)
- (Q589613) (redirect page) (← links)
- Bernstein-von Mises theorem for linear functionals of the density (Q693733) (← links)
- Non-informative priors in the case of Gaussian long-memory processes (Q701677) (← links)
- Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparametric estimation of the density (Q847631) (← links)
- On adaptive posterior concentration rates (Q888511) (← links)
- A Bernstein-von Mises theorem for smooth functionals in semiparametric models (Q892238) (← links)
- A note on Bayes factor consistency in partial linear models (Q899549) (← links)
- Harold Jeffreys's \textit{Theory of probability} revisited (Q903267) (← links)
- Rejoinder: ``Harold Jeffreys's \textit{Theory of probability} revisited'' (Q903272) (← links)
- Contributed discussion on article by Müller and Mitra (Q908003) (← links)
- Bayesian hidden Markov model for DNA sequence segmentation: a prior sensitivity analysis (Q961377) (← links)
- Asymptotic Bayes risks for a general class of losses (Q1373980) (← links)
- Valid asymptotic expansions for the maximum likelihood estimators of the parameter of a stationary, Gaussian, strongly dependent process (Q1429318) (← links)
- Coverage properties of one-sided intervals in the discrete case and application to matching priors (Q1585868) (← links)
- Posterior concentration rates for mixtures of normals in random design regression (Q1676779) (← links)
- Posterior concentration rates for counting processes with Aalen multiplicative intensities (Q1699639) (← links)
- Efficient semiparametric estimation and model selection for multidimensional mixtures (Q1746537) (← links)
- Nonparametric Bayesian clay for robust decision bricks (Q1790362) (← links)
- How principled and practical are penalised complexity priors? (Q1790382) (← links)
- Asymptotic properties of HPD regions in the discrete case. (Q1867130) (← links)
- Use in practice of importance sampling for repeated MCMC for Poisson models (Q1952059) (← links)
- Adaptive Bayesian density estimation with location-scale mixtures (Q1952098) (← links)
- Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator (Q2012208) (← links)
- Sparse networks with core-periphery structure (Q2044362) (← links)
- Bayesian spike sorting: parametric and nonparametric multivariate Gaussian mixture models (Q2098377) (← links)
- Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors (Q2215729) (← links)
- Nonparametric Bayesian estimation for multivariate Hawkes processes (Q2215756) (← links)
- Consistency results on nonparametric Bayesian estimation of level sets using spatial priors (Q2384661) (← links)
- Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity (Q2403073) (← links)
- Posterior concentration rates for empirical Bayes procedures with applications to Dirichlet process mixtures (Q2405180) (← links)
- Bounds for Bayesian order identification with application to mixtures (Q2426629) (← links)
- Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions (Q2453667) (← links)
- Empirical Bayes methods in classical and Bayesian inference (Q2513695) (← links)
- Posterior concentration rates for infinite dimensional exponential families (Q2633912) (← links)
- Combining expert opinions in prior elicitation (Q2633921) (← links)
- Rejoinder: ``Combining expert opinions in prior elicitation'' (Q2633923) (← links)
- Valid Edgeworth expansion for the sample autocorrelation function under long range dependence. (Q2716442) (← links)
- Noninformative priors for the bivariate Fieller-Creasy problem (Q2757197) (← links)
- Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by Aitkin (Q2841416) (← links)
- Bayesian optimal adaptive estimation using a sieve prior (Q2852628) (← links)
- Bayes and empirical Bayes: do they merge? (Q2874944) (← links)
