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RPEM: Randomized Monte Carlo parametric expectation maximization algorithm
Rong Chen, Alan Schumitzky, Alona Kryshchenko, Keith Nieforth, Michael Tomashevskiy, Shuhua Hu, Romain Garreau, Julian Otalvaro, Walter Yamada and Michael N. Neely CPT: Pharmacometrics & Systems Pharmacology 13(5) 759 (2024) https://doi.org/10.1002/psp4.13113
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Modélisation mathématique des gliomes de bas grade
Temporal Dynamics of the Scale for the Assessment and Rating of Ataxia in Spinocerebellar Ataxias
Paul Moulaire, Pierre Emmanuel Poulet, Emilien Petit, Thomas Klockgether, Alexandra Durr, Tetsuo Ashisawa and Sophie Tezenas du Montcel Movement Disorders 38(1) 35 (2023) https://doi.org/10.1002/mds.29255
Comparison of simulation-based algorithms for parameter estimation and state reconstruction in nonlinear state-space models
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A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model
Prediction of long-term humoral response induced by the two-dose heterologous Ad26.ZEBOV, MVA-BN-Filo vaccine against Ebola
Marie Alexandre, Mélanie Prague, Chelsea McLean, Viki Bockstal, Macaya Douoguih, Rodolphe Thiébaut, Thierry Van Effelterre, Laura Solforosi, Viki Bockstal and Anna Dari npj Vaccines 8(1) (2023) https://doi.org/10.1038/s41541-023-00767-y
Multivariate disease progression modeling with longitudinal ordinal data
A stochastic approximation expectation maximization algorithm for estimating Ramsay-curve three-parameter normal ogive model with non-normal latent trait distributions
Modeling serially correlated heavy-tailed data with some missing response values using stochastic EM algorithm
Uchenna Chinedu Nduka, Iheanyi Slyvester Iwueze and Chrysogonus Chinagorom Nwaigwe Communications in Statistics: Case Studies, Data Analysis and Applications 8(1) 81 (2022) https://doi.org/10.1080/23737484.2021.2017808
Improved numerical stability for the bounded integer model
Pierre-Emmanuel Poulet and Stanley Durrleman Lecture Notes in Computer Science, Information Processing in Medical Imaging 12729 571 (2021) https://doi.org/10.1007/978-3-030-78191-0_44
High-frequency volatility modeling: A Markov-Switching Autoregressive Conditional Intensity model
Guiding Measurement Protocols of Connected Medical Devices Using Digital Twins: A Statistical Methodology Applied to Detecting and Monitoring Lymphedema
Non-Linear Pharmacokinetics of Oral Roscovitine (Seliciclib) in Cystic Fibrosis Patients Chronically Infected with Pseudomonas aeruginosa: A Study on Population Pharmacokinetics with Monte Carlo Simulations
Predicting the dose of vancomycin in ICU patients receiving different types of RRT therapy: a model‐based meta‐analytic approach
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Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma
Mixed-Effects Estimation in Dynamic Models of Plant Growth for the Assessment of Inter-individual Variability
Charlotte Baey, Amélie Mathieu, Alexandra Jullien, Samis Trevezas and Paul-Henry Cournède Journal of Agricultural, Biological and Environmental Statistics 23(2) 208 (2018) https://doi.org/10.1007/s13253-017-0307-4
Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions
A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature
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Assessing the Correlation Structure in Cow Udder Quarter Infection Times Through Extensions of the Correlated Frailty Model
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Investigate Data Dependency for Dynamic Gene Regulatory Network Identification through High-dimensional Differential Equation Approach
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Moran Elishmereni, Yuri Kheifetz, Ilan Shukrun, Graham H. Bevan, Debashis Nandy, Kyle M. McKenzie, Manish Kohli and Zvia Agur The Prostate 76(1) 48 (2016) https://doi.org/10.1002/pros.23099
Modeling Longitudinal Preclinical Tumor Size Data to Identify Transient Dynamics in Tumor Response to Antiangiogenic Drugs
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High-Frequency Volatility Modelling: A Markov-Switching Autoregressive Conditional Intensity Model
In vitro and in vivo evaluation of drug–drug interaction between dabigatran and proton pump inhibitors
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Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation