On adaptive Markov chain Monte Carlo algorithms, Bernoulli, vol.11, issue.5, pp.815-828, 2005. ,
, The NONMEM system. The American Statistician, vol.34, pp.118-119, 1980.
A conceptual introduction to Hamiltonian Monte Carlo, 2017. ,
Stan: A probabilistic programming language, Journal of Statistical Software, issue.1, p.76, 2017. ,
The use of the SAEM algorithm in MONOLIX software for estimation of population pharmacokinetic-pharmacodynamic-viral dynamics parameters of maraviroc in asymptomatic HIV subjects, Journal of Pharmacokinetics and Pharmacodynamics, vol.38, issue.1, pp.41-61, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00637403
Parameter estimation in nonlinear mixed effect models using saemix, an r implementation of the saem algorithm, Journal of Statistical Software, vol.80, issue.3, pp.1-42, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01672496
Convergence of a stochastic approximation version of the EM algorithm, Ann. Statist, vol.27, issue.1, pp.94-128, 1999. ,
The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo, Journal of Machine Learning Research, vol.15, issue.1, pp.1593-1623, 2014. ,
Mixed effects models for the population approach: models, tasks, methods and tools, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01122873
Finding the observed information matrix when using the em algorithm, Journal of the Royal Statistical Society, Series B: Methodological, vol.44, pp.226-233, 1982. ,
DOI : 10.1111/j.2517-6161.1982.tb01203.x
Equation of state calculations by fast computing machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953. ,
DOI : 10.2172/4390578
URL : https://www.osti.gov/servlets/purl/4390578
MCMC using Hamiltonian dynamics. Handbook of Markov Chain Monte Carlo, vol.2, 2011. ,
DOI : 10.1201/b10905-6
URL : http://www.mcmchandbook.net/HandbookChapter5.pdf
Studies on coumarin anticoagulant drugs initiation of warfarin therapy without a loading dose, Circulation, vol.38, issue.1, pp.169-177, 1968. ,
Metropolis-Hastings Algorithms, pp.167-197, 2010. ,
DOI : 10.1007/978-1-4419-1576-4_6
URL : https://hal.archives-ouvertes.fr/hal-00633481
Weak convergence and optimal scaling of random walk metropolis algorithms, Ann. Appl. Probab, vol.7, issue.1, pp.110-120, 1997. ,
DOI : 10.1214/aoap/1034625254
URL : https://doi.org/10.1214/aoap/1034625254
Exponential convergence of langevin distributions and their discrete approximations, Bernoulli, vol.2, issue.4, pp.341-363, 1996. ,
DOI : 10.2307/3318418
RStan: the R interface to Stan, 2018. ,
Langevin-type models i: Diffusions with given stationary distributions and their discretizations, Methodology And Computing In Applied Probability, vol.1, issue.3, pp.283-306, 1999. ,