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An entropy criterion for assessing the number of clusters in a mixture model

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  1. Fadong Chen & Urs Fischbacher, 2020. "Cognitive processes underlying distributional preferences: a response time study," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 421-446, June.
  2. Scrucca, Luca, 2016. "Identifying connected components in Gaussian finite mixture models for clustering," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 5-17.
  3. Marianna Virtanen & Jussi Vahtera & Jenny Head & Rosemary Dray-Spira & Annaleena Okuloff & Adam G Tabak & Marcel Goldberg & Jenni Ervasti & Markus Jokela & Archana Singh-Manoux & Jaana Pentti & Marie , 2015. "Work Disability among Employees with Diabetes: Latent Class Analysis of Risk Factors in Three Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-14, November.
  4. Soojeong Jeong & Kaylee Litson & Jennifer Blaney & David F. Feldon, 2020. "Shifting Gears: Characteristics and Consequences of Latent Class Transitions in Doctoral Socialization," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(8), pages 1027-1053, December.
  5. Mari Huhtala & Muel Kaptein & Joona Muotka & Taru Feldt, 2022. "Longitudinal Patterns of Ethical Organisational Culture as a Context for Leaders’ Well-Being: Cumulative Effects Over 6 Years," Journal of Business Ethics, Springer, vol. 177(2), pages 421-442, May.
  6. Julian Aichholzer & Sylvia Kritzinger & Carolina Plescia, 2021. "National identity profiles and support for the European Union," European Union Politics, , vol. 22(2), pages 293-315, June.
  7. Jeffrey H Dorfman & Christian Gregory & Zhongyuan Liu & Ran Huo, 2019. "Re-Examining the SNAP Benefit Cycle Allowing for Heterogeneity," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 41(3), pages 404-433.
  8. Zhou, Mo & Bridges, John F.P., 2019. "Explore preference heterogeneity for treatment among people with Type 2 diabetes: A comparison of random-parameters and latent-class estimation techniques," Journal of choice modelling, Elsevier, vol. 30(C), pages 38-49.
  9. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
  10. Christian Schellhase & Göran Kauermann, 2012. "Density estimation and comparison with a penalized mixture approach," Computational Statistics, Springer, vol. 27(4), pages 757-777, December.
  11. Bruhin, Adrian & Goette, Lorenz & Haenni, Simon & Jiang, Lingqing, 2020. "Spillovers of prosocial motivation: Evidence from an intervention study on blood donors," Journal of Health Economics, Elsevier, vol. 70(C).
  12. Fadong Chen & Urs Fischbacher, 2015. "Cognitive Processes of Distributional Preferences: A Response Time Study," TWI Research Paper Series 101, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
  13. Andrew Clark & Fabien Postel-Vinay, 2009. "Job security and job protection," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 207-239, April.
  14. Nicoleta Serban & Huijing Jiang, 2012. "Multilevel Functional Clustering Analysis," Biometrics, The International Biometric Society, vol. 68(3), pages 805-814, September.
  15. Jacky C. K. Ng & Joanne Y. H. Chong & Hilary K. Y. Ng, 2023. "The way I see the world, the way I envy others: a person-centered investigation of worldviews and the malicious and benign forms of envy among adolescents and adults," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
  16. Danks, Nicholas P. & Sharma, Pratyush N. & Sarstedt, Marko, 2020. "Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM)," Journal of Business Research, Elsevier, vol. 113(C), pages 13-24.
  17. Paul Koster & Hans Koster, 2013. "Commuters' Preferences for Fast and Reliable Travel," Tinbergen Institute Discussion Papers 13-075/VIII, Tinbergen Institute, revised 30 Apr 2015.
  18. Heike Heidemeier & Anja Göritz, 2013. "Individual Differences in How Work and Nonwork Life Domains Contribute to Life Satisfaction: Using Factor Mixture Modeling for Classification," Journal of Happiness Studies, Springer, vol. 14(6), pages 1765-1788, December.
  19. Gillian C. Williams & Karen A. Patte & Mark A. Ferro & Scott T. Leatherdale, 2021. "Associations between Longitudinal Patterns of Substance Use and Anxiety and Depression Symptoms among a Sample of Canadian Secondary School Students," IJERPH, MDPI, vol. 18(19), pages 1-14, October.
  20. Kim, Daeyoung & Seo, Byungtae, 2014. "Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 100-120.
  21. Eun Young Choi & Seung-Hye Choi & Haeyoung Lee, 2021. "The Association between Job Quality Profiles and Work-Life Balance among Female Employees in Korea: A Latent Profile Analysis," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
  22. Nicolas Depraetere & Martina Vandebroek, 2014. "Order selection in finite mixtures of linear regressions," Statistical Papers, Springer, vol. 55(3), pages 871-911, August.
  23. Jost Reinecke & Daniel Seddig, 2011. "Growth mixture models in longitudinal research," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 415-434, December.
  24. Shamrova, Daria & Lampe, Joana, 2020. "Understanding patterns of child material deprivation in five regions of the world: A children’s rights perspective," Children and Youth Services Review, Elsevier, vol. 108(C).
  25. Mélissa Lemoine & Gerhard Gmel & Simon Foster & Simon Marmet & Joseph Studer, 2020. "Multiple trajectories of alcohol use and the development of alcohol use disorder: Do Swiss men mature-out of problematic alcohol use during emerging adulthood?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
  26. Sarstedt, Marko & Salcher, André, 2007. "Modellselektion in Finite Mixture PLS-Modellen," Discussion Papers in Business Administration 1394, University of Munich, Munich School of Management.
  27. Lebret, Rémi & Iovleff, Serge & Langrognet, Florent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2015. "Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i06).
  28. S. Bacci & S. Pandolfi & F. Pennoni, 2014. "A comparison of some criteria for states selection in the latent Markov model for longitudinal data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(2), pages 125-145, June.
  29. Lekkas, Peter & Howard, Natasha J & Stankov, Ivana & daniel, mark & Paquet, Catherine, 2019. "A Longitudinal Typology of Neighbourhood-level Social Fragmentation: A Finite Mixture Model Approach," SocArXiv 56x9c, Center for Open Science.
  30. Gao, Ya & Pan, Haixiao & Xie, Zhilin & Habib, Khandker Nurul, 2023. "Understanding patients heterogeneity in healthcare travel and hospital choice - A latent class analysis with covariates," Journal of Transport Geography, Elsevier, vol. 110(C).
  31. Ainhoa Vega-Bayo & Petr Mariel, 2023. "Parents’ Willingness to Pay for Bilingualism: Evidence from Spain," Journal of Family and Economic Issues, Springer, vol. 44(3), pages 727-742, September.
  32. Shook, Jeffrey J. & Vaughn, Michael G. & Salas-Wright, Christopher P., 2013. "Exploring the Variation in Drug Selling Among Adolescents in the United States," Journal of Criminal Justice, Elsevier, vol. 41(6), pages 365-374.
  33. Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi, 2018. "Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation," Journal of Classification, Springer;The Classification Society, vol. 35(1), pages 172-193, April.
  34. Yu, Jing & Nummi, Tapio & Pan, Jianxin, 2022. "Mixture regression for longitudinal data based on joint mean–covariance model," Journal of Multivariate Analysis, Elsevier, vol. 190(C).
  35. Morgan, Grant B. & Hodge, Kari J. & Baggett, Aaron R., 2016. "Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 146-161.
  36. Isabel Maia & Milton Severo & Ana Cristina Santos, 2020. "Application of the mixture item response theory model to the Self-Administered Food Security Survey Module for Children," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
  37. Hunt, Lynette A. & Basford, Kaye E., 2016. "Comparing classical criteria for selecting intra-class correlated features in Multimix," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 350-366.
  38. Allen, Jennifer Dacey & Caspi, Caitlin & Yang, May & Leyva, Bryan & Stoddard, Anne M. & Tamers, Sara & Tucker-Seeley, Reginald D. & Sorensen, Glorian C., 2014. "Pathways between acculturation and health behaviors among residents of low-income housing: The mediating role of social and contextual factors," Social Science & Medicine, Elsevier, vol. 123(C), pages 26-36.
  39. Diana Mindrila, 2023. "Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision," Mathematics, MDPI, vol. 11(12), pages 1-18, June.
  40. Lavigne, Robert, 2011. "The political and institutional determinants of fiscal adjustment: Entering and exiting fiscal distress," European Journal of Political Economy, Elsevier, vol. 27(1), pages 17-35, March.
  41. Ellen Bouchery & Monica Farid, "undated". "Variation in Staff Salary Costs Associated with Characteristics of Substance Use Disorder Treatment Facilities," Mathematica Policy Research Reports 65b1484724354c0ca8270d1c6, Mathematica Policy Research.
  42. Arianne M J Elissen & Dorijn F L Hertroijs & Nicolaas C Schaper & Hans Bosma & Pieter C Dagnelie & Ronald M Henry & Carla J van der Kallen & Annemarie Koster & Miranda T Schram & Coen D A Stehouwer & , 2017. "Differences in biopsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: The Maastricht Study," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-17, July.
  43. Michael T. Baglivio & Kevin T. Wolff, 2021. "Adverse Childhood Experiences Distinguish Violent Juvenile Sexual Offenders’ Victim Typologies," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
  44. Bartolucci Francesco & Murphy Thomas Brendan, 2015. "A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(4), pages 193-203, December.
  45. Wijesundera, Isuri & Halgamuge, Malka N. & Nirmalathas, Ampalavanapillai & Nanayakkara, Thrishantha, 2016. "MFPT calculation for random walks in inhomogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 986-1002.
  46. Cristina Mollica & Luca Tardella, 2017. "Bayesian Plackett–Luce Mixture Models for Partially Ranked Data," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 442-458, June.
  47. Wang, Kun & Marbut, Alexander R. & Suntai, Zainab & Zheng, Dianhan & Chen, Xiayu, 2022. "Patterns in older adults' perceived chronic stressor types and cognitive functioning trajectories: Are perceived chronic stressors always bad?," Social Science & Medicine, Elsevier, vol. 311(C).
  48. Tolu O Oyesanya & Roger L Brown & Lyn S Turkstra, 2017. "Caring for Patients with traumatic brain injury: a survey of nurses' perceptions," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(11-12), pages 1562-1574, June.
  49. Pennoni, Fulvia & Romeo, Isabella, 2016. "Latent Markov and growth mixture models for ordinal individual responses with covariates: a comparison," MPRA Paper 72939, University Library of Munich, Germany.
  50. Omar N. Solinger & Woody van Olffen & Robert A. Roe & Joeri Hofmans, 2013. "On Becoming (Un)Committed: A Taxonomy and Test of Newcomer Onboarding Scenarios," Organization Science, INFORMS, vol. 24(6), pages 1640-1661, December.
  51. Mirjana Pejić Bach & Božidar Jaković & Ivan Jajić & Maja Meško, 2023. "Investigating the Impact of COVID-19 on E-Learning: Country Development and COVID-19 Response," Mathematics, MDPI, vol. 11(6), pages 1-21, March.
  52. Paul Dolan & Kate Laffan & Alina Velias, 2022. "Who’s miserable now? Identifying clusters of people with the lowest subjective wellbeing in the UK," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(4), pages 679-710, May.
  53. Bruhin, Adrian & Janizzi, Kelly & Thöni, Christian, 2020. "Uncovering the heterogeneity behind cross-cultural variation in antisocial punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 291-308.
  54. Woonsun Kang, 2019. "Perceived Barriers to Implementing Education for Sustainable Development among Korean Teachers," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
  55. Biernacki, Christophe & Celeux, Gilles & Govaert, Gerard & Langrognet, Florent, 2006. "Model-based cluster and discriminant analysis with the MIXMOD software," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 587-600, November.
  56. Anne Mäkikangas & Wilmar Schaufeli & Esko Leskinen & Ulla Kinnunen & Katriina Hyvönen & Taru Feldt, 2016. "Long-Term Development of Employee Well-Being: A Latent Transition Approach," Journal of Happiness Studies, Springer, vol. 17(6), pages 2325-2345, December.
  57. Ewa Genge & Francesco Bartolucci, 2022. "Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 235-271, June.
  58. Kremer, Kristen P. & Vaughn, Michael G. & Loux, Travis M., 2018. "Parent and peer social norms and youth's post-secondary attitudes: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 93(C), pages 411-417.
  59. Thomas Bassetti & Raul Caruso & Darwin Cortes, 2015. "Behavioral differences in violence: The case of intra-group differences of Paramilitaries and Guerrillas in Colombia," DISCE - Quaderni del Dipartimento di Politica Economica ispe0073, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  60. McCarthy, Molly & Ogilvie, James M. & Allard, Troy, 2022. "Exploring trajectories of offender harm: An alternative approach to understanding offending pathways over the life-course," Journal of Criminal Justice, Elsevier, vol. 82(C).
  61. Helmut Farbmacher & Peter Ihle & Ingrid Schubert & Joachim Winter & Amelie Wuppermann, 2017. "Heterogeneous Effects of a Nonlinear Price Schedule for Outpatient Care," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1234-1248, October.
  62. Bae, Bumjoon & Liu, Yuandong & Han, Lee D. & Bozdogan, Hamparsum, 2019. "Spatio-temporal traffic queue detection for uninterrupted flows," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 20-34.
  63. Michael Salter-Townshend & Thomas Murphy, 2014. "Mixtures of biased sentiment analysers," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(1), pages 85-103, March.
  64. Wen Zhang & An-ni Wang & Shu-yu Yao & Yuan-hui Luo & Zhi-hua Li & Fei-fei Huang & Hui Li & Yi-zhen Yin & Jing-ping Zhang, 2016. "Latent Profiles of Posttraumatic Growth and Their Relation to Differences in Resilience among Only-Child-Lost People in China," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-13, December.
  65. Teague R. Henry & Kathleen M. Gates & Mitchell J. Prinstein & Douglas Steinley, 2020. "Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 8-34, March.
  66. Cremaschini, Alessandro & Maruotti, Antonello, 2023. "A finite mixture analysis of structural breaks in the G-7 gross domestic product series," Research in Economics, Elsevier, vol. 77(1), pages 76-90.
  67. Miloslavsky, Maja & van der Laan, Mark J., 2003. "Fitting of mixtures with unspecified number of components using cross validation distance estimate," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 413-428, January.
  68. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
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