Jeroen K. Vermunt

According to our database, Jeroen K. Vermunt authored at least 28 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options.

Emiel Krahmer, Felix J. Clouth, Saar Hommes, Ruben Vromans, Steffen Pauws, Jeroen K. Vermunt, Lonneke V. van de Poll-Franse, Xander Verbeek

Proceedings of the Commit2Data, 2024

Computational prediction of proximal sealing in endovascular abdominal aortic aneurysm repair with unfavorable necks.

Lucie Derycke, Stephane Avril, Jeroen K. Vermunt, David Perrin, S. El Batti, Jean-Marc Alsac, J.-N. Albertini, A. Millon

Comput. Methods Programs Biomed., 2024

2022

Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology.

Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo, Jeroen K. Vermunt

J. Classif., 2022

The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology.

Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo, Jeroen K. Vermunt

J. Classif., 2022

A new three-step method for using inverse propensity weighting with latent class analysis.

Felix J. Clouth, Steffen Pauws, Floortje Mols, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2022

2019

Online estimation of individual-level effects using streaming shrinkage factors.

Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt

Comput. Stat. Data Anal., 2019

A Personalized Data-to-Text Support Tool for Cancer Patients.

Saar Hommes, Chris van der Lee, Felix J. Clouth, Jeroen K. Vermunt, Xander Verbeek, Emiel Krahmer

Proceedings of the 12th International Conference on Natural Language Generation, 2019

2016

Estimating random-intercept models on data streams.

Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt

Comput. Stat. Data Anal., 2016

Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data.

Daniël W. van der Palm, L. Andries Van der Ark, Jeroen K. Vermunt

J. Classif., 2016

Power and Sample Size Computation for Wald Tests in Latent Class Models.

Dereje W. Gudicha, Fetene B. Tekle, Jeroen K. Vermunt

J. Classif., 2016

Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models.

Fetene B. Tekle, Dereje W. Gudicha, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2016

Micro-macro multilevel latent class models with multiple discrete individual-level variables.

Margot Bennink, Marcel A. Croon, Brigitte Kroon, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2016

2015

Clustering financial time series: New insights from an extended hidden Markov model.

José G. Dias, Jeroen K. Vermunt, Sofia Ramos

Eur. J. Oper. Res., 2015

2014

Special issue on "Model-based clustering and classification" (part 2).

Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2014

2013

Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches.

Dereje W. Gudicha, Jeroen K. Vermunt

Proceedings of the Algorithms from and for Nature and Life, 2013

A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models.

Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2013

Special issue on "Model-based clustering and classification".

Hans-Hermann Bock, Salvatore Ingrassia, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2013

2010

Students Reading Motivation: A Multilevel Mixture Factor Analysis.

Daniele Riggi, Jeroen K. Vermunt

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2008

A bootstrap-based aggregate classifier for model-based clustering.

José G. Dias, Jeroen K. Vermunt

Comput. Stat., 2008

Determining the Number of Components in Mixture Models for Hierarchical Data.

Olga Lukociene, Jeroen K. Vermunt

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Mixture Hidden Markov Models in Finance Research.

José G. Dias, Jeroen K. Vermunt, Sofia Ramos

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

Homogeneity of social networks by age and marital status: A multilevel analysis of ego-centered networks.

Matthijs Kalmijn, Jeroen K. Vermunt

Soc. Networks, 2007

A hierarchical mixture model for clustering three-way data sets.

Jeroen K. Vermunt

Comput. Stat. Data Anal., 2007

Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation.

Joost R. Van Ginkel, L. Andries Van der Ark, Klaas Sijtsma, Jeroen K. Vermunt

Comput. Stat. Data Anal., 2007

2004

Hierarchical Mixture Models for Nested Data Structures.

Jeroen K. Vermunt, Jay Magidson

Proceedings of the Classification, 2004

An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables.

Jay Magidson, Jeroen K. Vermunt

Proceedings of the Classification, 2004

2003

Latent class models for classification.

Jeroen K. Vermunt, Jay Magidson

Comput. Stat. Data Anal., 2003

Applications of Latent Class Analysis in Social Science Research.

Jeroen K. Vermunt

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003