Geert Verbeke
Orcid: 0000-0001-8430-7576
According to our database1,
Geert Verbeke
authored at least 19 papers
between 2005 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
Commun. Stat. Simul. Comput., 2022
Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors.
Commun. Stat. Simul. Comput., 2022
2021
Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept.
Comput. Math. Methods Medicine, 2021
2020
An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space.
J. Comput. Appl. Math., 2020
2019
Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets.
J. Simulation, 2019
2018
Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes.
Commun. Stat. Simul. Comput., 2018
2016
Finite information limit variance-covariance structures: Is the entire dataset needed for analysis?
Proceedings of the International Conference on High Performance Computing & Simulation, 2016
2014
A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance.
Comput. Stat. Data Anal., 2014
Multi-model inference using mixed effects from a linear regression based genetic algorithm.
BMC Bioinform., 2014
2013
Int. J. Bioinform. Res. Appl., 2013
2012
A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data.
J. Multivar. Anal., 2012
A mixed effects least squares support vector machine model for classification of longitudinal data.
Comput. Stat. Data Anal., 2012
2011
Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach.
Comput. Stat. Data Anal., 2011
Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations.
BMC Bioinform., 2011
The use of semiparametric mixed models to analyze PamChip<sup>®</sup> peptide array data: an application to an oncology experiment.
Bioinform., 2011
2009
The Use of Mixed Models to Identify Differentially Expressed Genes when a Single Replicate per Biological Condition is Present.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009
2006
Comput. Stat. Data Anal., 2006
2005