Jeroen K. Vermunt

29 papers B 1C 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM.
Stat. Comput.
S. Columbu, N. Piras, Jeroen K. Vermunt
2024 J jnl
Computational prediction of proximal sealing in endovascular abdominal aortic aneurysm repair with unfavorable necks.
Comput. Methods Programs Biomed.
Lucie Derycke, Stephane Avril, Jeroen K. Vermunt, David Perrin, S. El Batti, Jean-Marc Alsac, Jean-Noël Albertini, A. Millon
2024 — ch.
Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options.
Commit2Data
Emiel Krahmer, Felix J. Clouth, Saar Hommes, Ruben Vromans, Steffen Pauws, Jeroen K. Vermunt, Lonneke V. van de Poll-Franse, Xander Verbeek
2022 J jnl
A new three-step method for using inverse propensity weighting with latent class analysis.
Adv. Data Anal. Classif.
Felix J. Clouth, Steffen Pauws, Floortje Mols, Jeroen K. Vermunt
2022 J jnl
Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology.
J. Classif.
Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo, Jeroen K. Vermunt
2022 J jnl
The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology.
J. Classif.
Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo, Jeroen K. Vermunt
2019 B conf
A Personalized Data-to-Text Support Tool for Cancer Patients.
INLG
Saar Hommes, Chris van der Lee, Felix J. Clouth, Jeroen K. Vermunt, Xander Verbeek, Emiel Krahmer
2019 J jnl
Online estimation of individual-level effects using streaming shrinkage factors.
Comput. Stat. Data Anal.
Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt
2016 J jnl
Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data.
J. Classif.
Daniël W. van der Palm, L. Andries Van der Ark, Jeroen K. Vermunt
2016 J jnl
Estimating random-intercept models on data streams.
Comput. Stat. Data Anal.
Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt
2016 J jnl
Micro-macro multilevel latent class models with multiple discrete individual-level variables.
Adv. Data Anal. Classif.
Margot Bennink, Marcel A. Croon, Brigitte Kroon, Jeroen K. Vermunt
2016 J jnl
Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models.
Adv. Data Anal. Classif.
Fetene B. Tekle, Dereje W. Gudicha, Jeroen K. Vermunt
2016 J jnl
Power and Sample Size Computation for Wald Tests in Latent Class Models.
J. Classif.
Dereje W. Gudicha, Fetene B. Tekle, Jeroen K. Vermunt
2015 J jnl
Clustering financial time series: New insights from an extended hidden Markov model.
Eur. J. Oper. Res.
José G. Dias, Jeroen K. Vermunt, Sofia Ramos
2014 J jnl
Special issue on "Model-based clustering and classification" (part 2).
Adv. Data Anal. Classif.
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
2013 J jnl
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models.
Adv. Data Anal. Classif.
Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt
2013 — ch.
Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches.
Algorithms from and for Nature and Life
Dereje W. Gudicha, Jeroen K. Vermunt
2013 J jnl
Special issue on "Model-based clustering and classification".
Adv. Data Anal. Classif.
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
2010 — conf
Students Reading Motivation: A Multilevel Mixture Factor Analysis.
GfKl
Daniele Riggi, Jeroen K. Vermunt
2008 J jnl
A bootstrap-based aggregate classifier for model-based clustering.
Comput. Stat.
José G. Dias, Jeroen K. Vermunt
2008 — conf
Determining the Number of Components in Mixture Models for Hierarchical Data.
GfKl
Olga Lukociene, Jeroen K. Vermunt
2008 — conf
Mixture Hidden Markov Models in Finance Research.
GfKl
José G. Dias, Jeroen K. Vermunt, Sofia Ramos
2007 J jnl
A hierarchical mixture model for clustering three-way data sets.
Comput. Stat. Data Anal.
Jeroen K. Vermunt
2007 J jnl
Homogeneity of social networks by age and marital status: A multilevel analysis of ego-centered networks.
Soc. Networks
Matthijs Kalmijn, Jeroen K. Vermunt
2007 J jnl
Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation.
Comput. Stat. Data Anal.
Joost R. Van Ginkel, L. Andries Van der Ark, Klaas Sijtsma, Jeroen K. Vermunt
2004 — conf
An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables.
GfKl
Jay Magidson, Jeroen K. Vermunt
2004 — conf
Hierarchical Mixture Models for Nested Data Structures.
GfKl
Jeroen K. Vermunt, Jay Magidson
2003 C conf
Applications of Latent Class Analysis in Social Science Research.
ECSQARU
Jeroen K. Vermunt
2003 J jnl
Latent class models for classification.
Comput. Stat. Data Anal.
Jeroen K. Vermunt, Jay Magidson