Applications of Latent Class Analysis in Social Science Research. - Jeroen K. Vermunt (ECSQARU, 2003)

Latent class models for classification. - Jeroen K. Vermunt; Jay Magidson (Comput. Stat. Data Anal., 2003)

An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables. - Jay Magidson; Jeroen K. Vermunt (GfKl, 2004)

Hierarchical Mixture Models for Nested Data Structures. - Jeroen K. Vermunt; Jay Magidson (GfKl, 2004)

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)

A hierarchical mixture model for clustering three-way data sets. - Jeroen K. Vermunt (Comput. Stat. Data Anal., 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)

Mixture Hidden Markov Models in Finance Research. - José G. Dias; Jeroen K. Vermunt; Sofia Ramos (GfKl, 2008)

Determining the Number of Components in Mixture Models for Hierarchical Data. - Olga Lukociene; Jeroen K. Vermunt (GfKl, 2008)

A bootstrap-based aggregate classifier for model-based clustering. - José G. Dias; Jeroen K. Vermunt (Comput. Stat., 2008)

Students Reading Motivation: A Multilevel Mixture Factor Analysis. - Daniele Riggi; Jeroen K. Vermunt (GfKl, 2010)

Special issue on "Model-based clustering and classification". - Hans-Hermann Bock; Salvatore Ingrassia; Jeroen K. Vermunt (Adv. Data Anal. Classif., 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)

Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches. - Dereje W. Gudicha; Jeroen K. Vermunt (Algorithms from and for Nature and Life, 2013)

Special issue on "Model-based clustering and classification" (part 2). - Hans-Hermann Bock; Salvatore Ingrassia; Jeroen K. Vermunt (Adv. Data Anal. Classif., 2014)

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)

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)

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)

Power and Sample Size Computation for Wald Tests in Latent Class Models. - Dereje W. Gudicha; Fetene B. Tekle; Jeroen K. Vermunt (J. Classif., 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)

Estimating random-intercept models on data streams. - Lianne Ippel; Maurits Clemens Kaptein; Jeroen K. Vermunt (Comput. Stat. Data Anal., 2016)

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 (INLG, 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 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)

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)

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)

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; Jean-Noël Albertini; A. Millon (Comput. Methods Programs Biomed., 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 (Commit2Data, 2024)

Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM. - S. Columbu; N. Piras; Jeroen K. Vermunt (Stat. Comput., 2025)