Stochastic Approximation Expectation-maximization
Stochastic Approximation Expectation-Maximization is a likelihood-based parameter estimation algorithm within the class of expectation-maximization methods that incorporates stochastic approximations to handle complex population pharmacokinetic models with incomplete data by iteratively updating parameter estimates using Monte Carlo sampling and recursive stochastic approximation.
108
Publications
6.1K
Citations
277
Authors
191
Institutions
Publications per year
2017–2026
24
Variants
Saem
108
1–5 of 108
277
9
h-index
7
h-index
6
h-index
4
h-index
Mathématiques et Informatique Appliquées du Génome à l'Environnement, France
4 publications · 387 citations
4
h-index
1–5 of 277
191
Université Paris Cité
Paris, France
16 h-index
48 publications
4.6K citations
Inserm
Paris, France
15 h-index
43 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
17 publications
760 citations
Délégation Paris 7
Bagnolet, France
9 h-index
27 publications
1.3K citations
Université Paris-Sud
Orsay, France
5 h-index
8 publications
3K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
11 publications
2.8K citations
Centre Inria de Saclay
Palaiseau, France
4 h-index
6 publications
465 citations
Assistance Publique – Hôpitaux de Paris
Paris, France
4 h-index
18 publications
755 citations
1–8 of 191
5 publications · 226 citations
5
h-index
3 publications · 106 citations
3
h-index
3 publications · 107 citations
3
h-index
AOAS · 3 publications · 219 citations
3
h-index
3 publications · 463 citations
3
h-index
1–5