These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
116 related articles for article (PubMed ID: 37025277)
1. Inference for a discretized stochastic logistic differential equation and its application to biological growth. Delgado-Vences F; Baltazar-Larios F; Vargas AO; Morales-Bojórquez E; Cruz-Escalona VH; Salomón Aguilar C J Appl Stat; 2023; 50(6):1231-1254. PubMed ID: 37025277 [TBL] [Abstract][Full Text] [Related]
2. Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs. Buckwar E; Tamborrino M; Tubikanec I Stat Comput; 2020; 30(3):627-648. PubMed ID: 32132771 [TBL] [Abstract][Full Text] [Related]
5. Expectation-Maximization-Maximization: A Feasible MLE Algorithm for the Three-Parameter Logistic Model Based on a Mixture Modeling Reformulation. Zheng C; Meng X; Guo S; Liu Z Front Psychol; 2017; 8():2302. PubMed ID: 29354089 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. [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]
8. Regularized EM algorithm for sparse parameter estimation in nonlinear dynamic systems with application to gene regulatory network inference. Jia B; Wang X EURASIP J Bioinform Syst Biol; 2014; 2014(1):5. PubMed ID: 24708632 [TBL] [Abstract][Full Text] [Related]
9. Stochastic EM algorithm for generalized exponential cure rate model and an empirical study. Davies K; Pal S; Siddiqua JA J Appl Stat; 2021; 48(12):2112-2135. PubMed ID: 35706615 [TBL] [Abstract][Full Text] [Related]
11. Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo. Golightly A; Wilkinson DJ Interface Focus; 2011 Dec; 1(6):807-20. PubMed ID: 23226583 [TBL] [Abstract][Full Text] [Related]
12. Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm. Chow SM; Lu Z; Sherwood A; Zhu H Psychometrika; 2016 Mar; 81(1):102-34. PubMed ID: 25416456 [TBL] [Abstract][Full Text] [Related]
13. The Bayesian Expectation-Maximization-Maximization for the 3PLM. Guo S; Zheng C Front Psychol; 2019; 10():1175. PubMed ID: 31214067 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Density-based Monte Carlo filter and its applications in nonlinear stochastic differential equation models. Huang G; Wan J; Chen H Comput Biol Med; 2013 Feb; 43(2):135-43. PubMed ID: 23246109 [TBL] [Abstract][Full Text] [Related]
16. A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso. van der Laan M Int J Biostat; 2017 Oct; 13(2):. PubMed ID: 29023235 [TBL] [Abstract][Full Text] [Related]