M. Rowland, L. Z. Benet, and G. G. Graham, Clearance concepts in pharmacokinetics, Journal of Pharmacokinetics and Biopharmaceutics, vol.58, issue.2, pp.123-136, 1973.
DOI : 10.1007/BF01059626

F. Y. Bois, Applications of population approaches in toxicology, Toxicology Letters, vol.120, issue.1-3, pp.385-394, 2001.
DOI : 10.1016/S0378-4274(01)00270-3
URL : https://hal.archives-ouvertes.fr/ineris-00972203

A. Doucet, N. De-freitas, and N. Gordon, Sequential Monte Carlo Methods in Practice, 2001.
DOI : 10.1007/978-1-4757-3437-9

N. Chopin, A sequential particle filter method for static models, Biometrika, vol.89, issue.3, pp.539-552, 2002.
DOI : 10.1093/biomet/89.3.539

L. Tierney and A. Mira, Some adaptive Monte Carlo methods for Bayesian inference, Statistics in Medicine, vol.43, issue.17-18, pp.2507-2515, 1999.
DOI : 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2507::AID-SIM272>3.0.CO;2-J

G. Ridgeway and D. Madigan, A sequential Monte Carlo method for Bayesian analysis of massive datasets, Data Mining and Knowledge Discovery, vol.7, issue.3, pp.301-319, 2003.
DOI : 10.1023/A:1024084221803

D. B. Rubin, Using the SIR algorithm to simulate posterior distributions, Bayesian Statistics, pp.395-402, 1998.

J. Geweke, Bayesian Inference in Econometric Models Using Monte Carlo Integration, Econometrica, vol.57, issue.6, pp.1317-1399, 1989.
DOI : 10.2307/1913710

L. Tierney, Markov Chains for Exploring Posterior Distributions, The Annals of Statistics, vol.22, issue.4, pp.1701-1762, 1994.
DOI : 10.1214/aos/1176325750