135 related articles for article (PubMed ID: 32764847)
1. Efficient inference in state-space models through adaptive learning in online Monte Carlo expectation maximization.
Henderson D; Lunter G
Comput Stat; 2020; 35(3):1319-1344. PubMed ID: 32764847
[TBL] [Abstract][Full Text] [Related]
2. Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.
Panhard X; Samson A
Biostatistics; 2009 Jan; 10(1):121-35. PubMed ID: 18583352
[TBL] [Abstract][Full Text] [Related]
3. RPEM: Randomized Monte Carlo parametric expectation maximization algorithm.
Chen R; Schumitzky A; Kryshchenko A; Nieforth K; Tomashevskiy M; Hu S; Garreau R; Otalvaro J; Yamada W; Neely MN
CPT Pharmacometrics Syst Pharmacol; 2024 May; 13(5):759-780. PubMed ID: 38622792
[TBL] [Abstract][Full Text] [Related]
4. A stochastic approximation expectation maximization algorithm for estimating Ramsay-curve three-parameter normal ogive model with non-normal latent trait distributions.
Cui Y; Lu J; Zhang J; Shi N; Liu J; Meng X
Front Psychol; 2022; 13():971126. PubMed ID: 36506999
[TBL] [Abstract][Full Text] [Related]
5. Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm.
Ripatti S; Larsen K; Palmgren J
Lifetime Data Anal; 2002 Dec; 8(4):349-60. PubMed ID: 12471944
[TBL] [Abstract][Full Text] [Related]
6. Expectation-Maximization-Based Simultaneous Localization and Mapping for Millimeter-Wave Communication Systems.
Chen L; Chen Z; Ji Z
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146290
[TBL] [Abstract][Full Text] [Related]
7. Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data.
Zakkour A; Perret C; Slaoui Y
Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981361
[TBL] [Abstract][Full Text] [Related]
8. A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model.
Meng X; Xu G
Psychometrika; 2023 Dec; 88(4):1407-1442. PubMed ID: 35648266
[TBL] [Abstract][Full Text] [Related]
9. Expectation maximization based framework for joint localization and parameter estimation in single particle tracking from segmented images.
Lin Y; Andersson SB
PLoS One; 2021; 16(5):e0243115. PubMed ID: 34019541
[TBL] [Abstract][Full Text] [Related]
10. Gaussian variational estimation for multidimensional item response theory.
Cho AE; Wang C; Zhang X; Xu G
Br J Math Stat Psychol; 2021 Jul; 74 Suppl 1():52-85. PubMed ID: 33064318
[TBL] [Abstract][Full Text] [Related]
11. Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods.
Largajolli A; Bertoldo A; Cobelli C
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5482-5. PubMed ID: 23367170
[TBL] [Abstract][Full Text] [Related]
12. Employing a Monte Carlo algorithm in expectation maximization restricted maximum likelihood estimation of the linear mixed model.
Matilainen K; Mäntysaari EA; Lidauer MH; Strandén I; Thompson R
J Anim Breed Genet; 2012 Dec; 129(6):457-68. PubMed ID: 23148971
[TBL] [Abstract][Full Text] [Related]
13. Performance in population models for count data, part II: a new SAEM algorithm.
Savic R; Lavielle M
J Pharmacokinet Pharmacodyn; 2009 Aug; 36(4):367-79. PubMed ID: 19680795
[TBL] [Abstract][Full Text] [Related]
14. A second-order iterated smoothing algorithm.
Nguyen D; Ionides EL
Stat Comput; 2017 Nov; 27(6):1677-1692. PubMed ID: 28860681
[TBL] [Abstract][Full Text] [Related]
15. [The use of the expectation-maximization (EM) algorithm for maximum likelihood estimation of gametic frequencies of multilocus polymorphic codominant systems based on sampled population data].
Sergeev AS; Arapova RK
Genetika; 2002 Mar; 38(3):407-18. PubMed ID: 11963570
[TBL] [Abstract][Full Text] [Related]
16. Accelerated maximum likelihood parameter estimation for stochastic biochemical systems.
Daigle BJ; Roh MK; Petzold LR; Niemi J
BMC Bioinformatics; 2012 May; 13():68. PubMed ID: 22548918
[TBL] [Abstract][Full Text] [Related]
17. Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
Zhang J; Modestino JW; Langan DA
IEEE Trans Image Process; 1994; 3(4):404-20. PubMed ID: 18291939
[TBL] [Abstract][Full Text] [Related]
18. Large-scale inference of conjunctive Bayesian networks.
Montazeri H; Kuipers J; Kouyos R; Böni J; Yerly S; Klimkait T; Aubert V; Günthard HF; Beerenwinkel N;
Bioinformatics; 2016 Sep; 32(17):i727-i735. PubMed ID: 27587695
[TBL] [Abstract][Full Text] [Related]
19. Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using approximate Bayesian computation.
Carr MJ; Simpson MJ; Drovandi C
J R Soc Interface; 2021 Sep; 18(182):20210362. PubMed ID: 34547212
[TBL] [Abstract][Full Text] [Related]
20. Comparing the performance of first-order conditional estimation (FOCE) and different expectation-maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model.
Bach T; An G
J Pharmacokinet Pharmacodyn; 2021 Aug; 48(4):581-595. PubMed ID: 33884580
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
