The Monte Carlo EM method for the parameter estimation of biological models

Electronic Notes in Theoretical Computer Science ◽

10.1016/j.entcs.2011.09.003 ◽

2011 ◽

Vol 275 ◽

pp. 23-36 ◽

Cited By ~ 1

Author(s):

Alessio Angius ◽

András Horváth

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Biological Models ◽

Em Method ◽

Monte Carlo Em

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The Monte Carlo EM method for estimating multinomial probit latent variable models

Computational Statistics ◽

10.1007/s00180-007-0091-7 ◽

2007 ◽

Vol 23 (2) ◽

pp. 277-289 ◽

Cited By ~ 1

Author(s):

Xingcai Zhou ◽

Xinsheng Liu

Keyword(s):

Monte Carlo ◽

Latent Variable ◽

Latent Variable Models ◽

Multinomial Probit ◽

Em Method ◽

Monte Carlo Em

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A Monte Carlo EM method for estimating multinomial probit models

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(99)00073-0 ◽

2000 ◽

Vol 34 (1) ◽

pp. 33-50 ◽

Cited By ~ 14

Author(s):

Ranjini Natarajan ◽

Charles E McCulloch ◽

Nicholas M Kiefer

Keyword(s):

Monte Carlo ◽

Multinomial Probit ◽

Probit Models ◽

Em Method ◽

Monte Carlo Em

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The Monte Carlo EM method for estimating multivariate tobit latent variable models

Journal of Statistical Computation and Simulation ◽

10.1080/00949650802137170 ◽

2009 ◽

Vol 79 (9) ◽

pp. 1095-1107 ◽

Cited By ~ 3

Author(s):

X. C. Zhou ◽

X. S. Liu

Keyword(s):

Monte Carlo ◽

Latent Variable ◽

Latent Variable Models ◽

Em Method ◽

Monte Carlo Em

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Sequential Monte Carlo based parameter estimation for structural health monitoring with an Intel Xeon Phi optimized ultrasound kernel

10.1063/1.5099739 ◽

2019 ◽

Author(s):

William C. Schneck ◽

Heather Reed ◽

Elizabeth D. Gregory ◽

Cara A. C. Leckey

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Structural Health Monitoring ◽

Health Monitoring ◽

Sequential Monte Carlo ◽

Xeon Phi ◽

Intel Xeon Phi ◽

Structural Health ◽

Intel Xeon

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A Monte Carlo Simulation Study on the Influence of Unequal Group Sizes on Parameter Estimation in Multilevel Confirmatory Factor Analysis

Structural Equation Modeling A Multidisciplinary Journal ◽

10.1080/10705511.2021.1913594 ◽

2021 ◽

pp. 1-12

Author(s):

Felix Jonas Eßer ◽

Jana Holtmann ◽

Michael Eid

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Factor Analysis ◽

Parameter Estimation ◽

Confirmatory Factor Analysis ◽

Simulation Study ◽

Monte Carlo Simulation Study ◽

Multilevel Confirmatory Factor Analysis ◽

Confirmatory Factor

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Reciprocal Sliding Friction Model for an Electro-Deposited Coating and Its Parameter Estimation Using Markov Chain Monte Carlo Method

Materials ◽

10.3390/ma9040237 ◽

2016 ◽

Vol 9 (4) ◽

pp. 237 ◽

Cited By ~ 2

Author(s):

Kyungmok Kim ◽

Jaewook Lee

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

Sliding Friction ◽

Friction Model

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Joint Bayesian model selection and parameter estimation of the generalized extreme value model with covariates using birth-death Markov chain Monte Carlo

Water Resources Research ◽

10.1029/2007wr006427 ◽

2009 ◽

Vol 45 (6) ◽

Cited By ~ 28

Author(s):

Salaheddine El Adlouni ◽

Taha B. M. J. Ouarda

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Model Selection ◽

Bayesian Model ◽

Extreme Value ◽

Extreme Value Model ◽

Value Model ◽

Generalized Extreme Value Model

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Kinetic Modeling of High-Pressure Pyrite Oxidation with Parameter Estimation and Reliability Analysis Using the Markov Chain Monte Carlo Method

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.5b02374 ◽

2015 ◽

Vol 54 (41) ◽

pp. 9920-9930 ◽

Cited By ~ 5

Author(s):

Vladimir V. Zhukov ◽

Arto Laari ◽

Tuomas Koiranen

Keyword(s):

High Pressure ◽

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

Reliability Analysis ◽

Kinetic Modeling ◽

Pyrite Oxidation

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Enhanced parameter estimation with GLLS and the Bootstrap Monte Carlo method for dynamic SPECT

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.259994 ◽

2006 ◽

Cited By ~ 4

Author(s):

Lingfeng Wen ◽

Stefan Eberl ◽

Dagan Feng

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Monte Carlo Method ◽

Dynamic Spect

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Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72031-7_42 ◽

2007 ◽

pp. 465-476 ◽

Cited By ~ 3

Author(s):

Chengpeng Bi

Keyword(s):

Monte Carlo ◽

Em Algorithm ◽

Local Alignment ◽

Multiple Sequence ◽

Monte Carlo Em Algorithm ◽

Monte Carlo Em

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