@phdthesis{durmus:tel-01529750, TITLE = {{High dimensional Markov chain Monte Carlo methods : theory, methods and applications}}, AUTHOR = {Durmus, Alain}, URL = {https://pastel.hal.science/tel-01529750}, NUMBER = {2016SACLT001}, SCHOOL = {{Universit{\'e} Paris Saclay (COmUE)}}, YEAR = {2016}, MONTH = Dec, KEYWORDS = {MCMC ; Bayesian inference ; Rate of convergence ; Wasserstein distance ; Optimal scaling ; MCMC ; Inf{\'e}rence bayesienne ; Taux de convergence ; Distance de Wasserstein ; {\'E}chelonnage optimal}, TYPE = {Theses}, PDF = {https://pastel.hal.science/tel-01529750/file/73643DURMUS2016archivage.pdf}, HAL_ID = {tel-01529750}, HAL_VERSION = {v1}, }