POSTDOCGrenoble.pdf : Différence entre versions
De MARMOTE
(Markov chains and sampling) |
|||
| Ligne 9 : | Ligne 9 : | ||
- relations between importance sampling and perfect sampling | - relations between importance sampling and perfect sampling | ||
- execution times of Gibbs sampling algorithms | - execution times of Gibbs sampling algorithms | ||
| + | |||
| + | |||
| + | Contacts: | ||
| + | Bruno Gaujal (bruno.gaujal@inria.fr) | ||
| + | Jean-Marc Vincent (jean-marc.vincent@imag.fr) | ||
Version du 24 mars 2015 à 14:17
Post doc position in the Mescal team of Inria Grenoble.
The overall framework is the analysis of Markov chain. More precisely, the post-doc will investigate simulation and sampling of Markov chains , in relation with one or several of the following points: - improvement of perfect sampling algorithms of finite and infinite Markov chains. - optimal coupling, - estimations of coupling times and mixing times, - relations between importance sampling and perfect sampling - execution times of Gibbs sampling algorithms
Contacts:
Bruno Gaujal (bruno.gaujal@inria.fr)
Jean-Marc Vincent (jean-marc.vincent@imag.fr)
