Geert Verbeke

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 7

Top Topics

Gaussian Process

Hierarchical Models

Top Venues

Commun. Stat. Simul. Comput.

Publications

Lisa Hermans, Geert Molenberghs, Geert Verbeke, Michael G. Kenward, Pavlos Mamouris, Bert Vaes
Optimal weighted estimation versus Cochran-Mantel-Haenszel. Commun. Stat. Simul. Comput. 51 (7) (2022)
Oludare Samuel Ariyo, Emmanuel Lesaffre, Geert Verbeke, Adrian Quintero
Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors. Commun. Stat. Simul. Comput. 51 (4) (2022)
Payam Amini, Abbas Moghimbeigi, Farid Zayeri, Leili Tapak, Saman Maroufizadeh, Geert Verbeke
Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept. Comput. Math. Methods Medicine 2021 (2021)
Wim De Mulder, Geert Molenberghs, Geert Verbeke
An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space. J. Comput. Appl. Math. 363 (2020)
Wim De Mulder, Bernhard Rengs, Geert Molenberghs, Thomas Fent, Geert Verbeke
Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets. J. Simulation 13 (3) (2019)
Lisa Hermans, Vahid Nassiri, Geert Molenberghs, Michael G. Kenward, Simon Vander Elst, Marc Aerts, Geert Verbeke
Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes. Commun. Stat. Simul. Comput. 47 (5) (2018)
Vahid Nassiri, Geert Molenberghs, Geert Verbeke
Finite information limit variance-covariance structures: Is the entire dataset needed for analysis? HPCS (2016)
Stijn Jaspers, Marc Aerts, Geert Verbeke, Pierre-Alexandre Beloeil
A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance. Comput. Stat. Data Anal. 71 (2014)
Koen Van der Borght, Geert Verbeke, Herman van Vlijmen
Multi-model inference using mixed effects from a linear regression based genetic algorithm. BMC Bioinform. 15 (2014)
Pushpike Jayantha Thilakarathne, Geert Verbeke, Kristof Engelen, Kathleen Marchal, Dan Lin
Identifying differentially expressed genes in the absence of replication. Int. J. Bioinform. Res. Appl. 9 (1) (2013)
Chiara Forcheh Anyiawung, Geert Verbeke, Adetayo Kasim, Dan Lin, Ziv Shkedy, Willem Talloen, Hinrich W. H. Göhlmann, Lieven Clement
beadarrayFilter: An R Package to Filter Beads. R J. 5 (1) (2013)
Jan Luts, Geert Molenberghs, Geert Verbeke, Sabine Van Huffel, Johan A. K. Suykens
A mixed effects least squares support vector machine model for classification of longitudinal data. Comput. Stat. Data Anal. 56 (3) (2012)
Geert Molenberghs, Geert Verbeke, Samuel Iddi, Clarice G. B. Demétrio
A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data. J. Multivar. Anal. 111 (2012)
Assam Pryseley, Clotaire Tchonlafi, Geert Verbeke, Geert Molenberghs
Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach. Comput. Stat. Data Anal. 55 (2) (2011)
Koen Van der Borght, Elke Van Craenenbroeck, Pierre Lecocq, Margriet Van Houtte, Barbara Van Kerckhove, Lee Bacheler, Geert Verbeke, Herman van Vlijmen
Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations. BMC Bioinform. 12 (2011)
Pushpike Jayantha Thilakarathne, Lieven Clement, Dan Lin, Ziv Shkedy, Adetayo Kasim, Willem Talloen, Matthias Versele, Geert Verbeke
peptide array data: an application to an oncology experiment. Bioinform. 27 (20) (2011)
Pushpike Jayantha Thilakarathne, Geert Verbeke, Kristof Engelen, Kathleen Marchal
The Use of Mixed Models to Identify Differentially Expressed Genes when a Single Replicate per Biological Condition is Present. BIOCOMP (2009)
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward
The nature of sensitivity in monotone missing not at random models. Comput. Stat. Data Anal. 50 (3) (2006)
Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke
Kernel weighted influence measures. Comput. Stat. Data Anal. 48 (3) (2005)