Jeroen K. Vermunt

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 10

Top Topics

Categorical Data

Likelihood Ratio Test

Latent Class Models

Top Venues

Adv. Data Anal. Classif.

Comput. Stat. Data Anal.

Comput. Methods Programs Biomed.

Publications

Lucie Derycke, Stephane Avril, Jeroen K. Vermunt, David Perrin, S. El Batti, Jean-Marc Alsac, J.-N. Albertini, A. Millon
Computational prediction of proximal sealing in endovascular abdominal aortic aneurysm repair with unfavorable necks. Comput. Methods Programs Biomed. 244 (2024)
Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo, Jeroen K. Vermunt
Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology. J. Classif. 39 (2) (2022)
Felix J. Clouth, Steffen Pauws, Floortje Mols, Jeroen K. Vermunt
A new three-step method for using inverse propensity weighting with latent class analysis. Adv. Data Anal. Classif. 16 (2) (2022)
Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo, Jeroen K. Vermunt
The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology. J. Classif. 39 (2) (2022)
Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt
Online estimation of individual-level effects using streaming shrinkage factors. Comput. Stat. Data Anal. 137 (2019)
Daniël W. van der Palm, L. Andries Van der Ark, Jeroen K. Vermunt
Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data. J. Classif. 33 (1) (2016)
Dereje W. Gudicha, Fetene B. Tekle, Jeroen K. Vermunt
Power and Sample Size Computation for Wald Tests in Latent Class Models. J. Classif. 33 (1) (2016)
Fetene B. Tekle, Dereje W. Gudicha, Jeroen K. Vermunt
Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models. Adv. Data Anal. Classif. 10 (2) (2016)
Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt
Estimating random-intercept models on data streams. Comput. Stat. Data Anal. 104 (2016)
Margot Bennink, Marcel A. Croon, Brigitte Kroon, Jeroen K. Vermunt
Micro-macro multilevel latent class models with multiple discrete individual-level variables. Adv. Data Anal. Classif. 10 (2) (2016)
José G. Dias, Jeroen K. Vermunt, Sofia Ramos
Clustering financial time series: New insights from an extended hidden Markov model. Eur. J. Oper. Res. 243 (3) (2015)
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
Special issue on "Model-based clustering and classification" (part 2). Adv. Data Anal. Classif. 8 (1) (2014)
Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. Adv. Data Anal. Classif. 7 (3) (2013)
Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt
Special issue on "Model-based clustering and classification". Adv. Data Anal. Classif. 7 (3) (2013)
Daniele Riggi, Jeroen K. Vermunt
Students Reading Motivation: A Multilevel Mixture Factor Analysis. GfKl (2010)
José G. Dias, Jeroen K. Vermunt
A bootstrap-based aggregate classifier for model-based clustering. Comput. Stat. 23 (4) (2008)
Olga Lukociene, Jeroen K. Vermunt
Determining the Number of Components in Mixture Models for Hierarchical Data. GfKl (2008)
José G. Dias, Jeroen K. Vermunt, Sofia Ramos
Mixture Hidden Markov Models in Finance Research. GfKl (2008)
Joost R. Van Ginkel, L. Andries Van der Ark, Klaas Sijtsma, Jeroen K. Vermunt
Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation. Comput. Stat. Data Anal. 51 (8) (2007)
Jeroen K. Vermunt
A hierarchical mixture model for clustering three-way data sets. Comput. Stat. Data Anal. 51 (11) (2007)
Matthijs Kalmijn, Jeroen K. Vermunt
Homogeneity of social networks by age and marital status: A multilevel analysis of ego-centered networks. Soc. Networks 29 (1) (2007)
Jay Magidson, Jeroen K. Vermunt
An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables. GfKl (2004)
Jeroen K. Vermunt, Jay Magidson
Hierarchical Mixture Models for Nested Data Structures. GfKl (2004)
Jeroen K. Vermunt
Applications of Latent Class Analysis in Social Science Research. ECSQARU (2003)
Jeroen K. Vermunt, Jay Magidson
Latent class models for classification. Comput. Stat. Data Anal. 41 (3-4) (2003)