The following pages link to Christian Robert (Q4382345):
Displaying 30 items.
- The expected demise of the Bayes factor (Q296922) (← links)
- Discussion of ``Is Bayes posterior just quick and dirty confidence?'' by D.A.S. Fraser (Q449833) (← links)
- Improving the convergence properties of the data augmentation algorithm with an application to Bayesian mixture modeling (Q449838) (← links)
- Marginal maximum a posteriori estimation using Markov chain Monte Carlo (Q451237) (← links)
- Bayesian computation for statistical models with intractable normalizing constants (Q470373) (← links)
- (Q2732653) (← links)
- Bayesian modelling of a pharmaceutical experiment with heterogeneous responses (Q2736877) (← links)
- Analysis of Gaussian mixtures for small samples: Application to stellar kinematics (Q2750790) (← links)
- Properties of nested sampling (Q2786383) (← links)
- Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by Aitkin (Q2841416) (← links)
- Bayesian Essentials with R (Q2849649) (← links)
- (Q4382346) (← links)
- ABC likelihood-free methods for model choice in Gibbs random fields (Q5962444) (← links)
- Pre-processing for approximate Bayesian computation in image analysis (Q5963548) (← links)
- Introduction to ``Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields'' by J. Stoehr, P. Pudlo, L. Cucala (Q5963553) (← links)
- Bayesian computation: a summary of the current state, and samples backwards and forwards (Q5963784) (← links)
- Comment on article by Jain and Neal (Q5965228) (← links)
- Deviance information criteria for missing data models (Q5965285) (← links)
- Rejoinder: ``Deviance information criteria for missing data models'' (Q5965291) (← links)
- Comment on article by Dawid and Musio (Q5965473) (← links)
- Rethinking the Effective Sample Size (Q6067598) (← links)
- The importance Markov chain (Q6204189) (← links)
- Model Misspecification in ABC: Consequences and Diagnostics (Q6289845) (← links)
- Computing Bayes: from then `til now (Q6540226) (← links)
- Approximating Bayes in the 21st century (Q6540227) (← links)
- Living on the edge: an unified approach to antithetic sampling (Q6540236) (← links)
- Reading Keynes' treatise on probability (Q6573732) (← links)
- Insufficient Gibbs sampling (Q6581655) (← links)
- Accelerating MCMC algorithms (Q6602205) (← links)
- Sampling using adaptive regenerative processes (Q6632616) (← links)
