Latent class models for classification

Citations

Cited by:

1. Bolger, Michelle A., 2018. "Predicting arrest probability across time: An exploration of competing risk perspectives," Journal of Criminal Justice, Elsevier, vol. 59(C), pages 92-109.
2. Briana J. K. Stephenson & Amy H. Herring & Andrew F. Olshan, 2022. "Derivation of maternal dietary patterns accounting for regional heterogeneity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1957-1977, November.
3. Youmi Suk & Jee-Seon Kim & Hyunseung Kang, 2021. "Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes," Journal of Educational and Behavioral Statistics, , vol. 46(3), pages 323-347, June.
4. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
5. Silvia Cagnone & Cinzia Viroli, 2018. "Multivariate latent variable transition models of longitudinal mixed data: an analysis on alcohol use disorder," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(5), pages 1399-1418, November.
6. Dingfan Xing & Stephen V. Stehman & Giles M. Foody & Bruce W. Pengra, 2021. "Comparison of Simple Averaging and Latent Class Modeling to Estimate the Area of Land Cover in the Presence of Reference Data Variability," Land, MDPI, vol. 10(1), pages 1-17, January.
7. Imami, Drini & Chan-Halbrendt, Catherine & Zhang, Quanguo & Zhllima, Edvin, 2011. "Conjoint Analysis of Consumer Preferences for Lamb Meat in Central and Southwest Urban Albania," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(3), pages 1-16, September.
8. Peters, A. & Hothorn, T. & Lausen, B., 2005. "Generalised indirect classifiers," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 849-861, June.
9. Mitchell D. Lingo & Wei-Lin Chen, 2023. "Righteous, Reveler, Achiever, Bored: A Latent Class Analysis of First-Year Student Involvement," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(6), pages 893-932, September.
10. Luca De Angelis, 2013. "Latent class models for financial data analysis: some statistical developments," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 227-242, June.
11. Shelley H. Liu & Yitong Chen & Jordan R. Kuiper & Emily Ho & Jessie P. Buckley & Leah Feuerstahler, 2024. "Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 482-502, July.
12. Bohning, Dankmar & Seidel, Wilfried, 2003. "Editorial: recent developments in mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 349-357, January.
13. Owen, Ann L. & Videras, Julio R., 2007. "Culture and public goods: The case of religion and the voluntary provision of environmental quality," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 162-180, September.
14. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
15. Schmid, Stefan & Grosche, Philipp & Mayrhofer, Ulrike, 2016. "Configuration and coordination of international marketing activities," International Business Review, Elsevier, vol. 25(2), pages 535-547.
16. Adem, Jan & Gochet, Willy, 2004. "Aggregating classifiers with mathematical programming," Computational Statistics & Data Analysis, Elsevier, vol. 47(4), pages 791-807, November.
17. Oppewal, Harmen & Paas, Leonard J. & Crouch, Geoffrey I. & Huybers, Twan, 2010. "Segmenting consumers based on how they spend a tax rebate: An analysis of the Australian stimulus payment," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 510-519, August.
18. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
19. Silvia Cagnone & Cinzia Viroli, 2014. "A factor mixture model for analyzing heterogeneity and cognitive structure of dementia," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(1), pages 1-20, January.
20. Stanislav Avsec, 2023. "Design Thinking to Envision More Sustainable Technology-Enhanced Teaching for Effective Knowledge Transfer," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
21. Chi-Ming Tsou & Chuan Chen & Deng-Yuan Huang, 2007. "Learning Mixture Models for Classification with Energy Combination," Management, University of Primorska, Faculty of Management Koper, vol. 2(3), pages 203-214.
22. Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
23. Valenzuela, Marcus A. & Flinchbaugh, Carol & Rogers, Sean Edmund, 2020. "Can organizations help adjust?: The effect of perceived organizational climate on immigrants' acculturation and consequent effect on perceived fit," Journal of International Management, Elsevier, vol. 26(3).
24. Skreli, Engjell & Imami, Drini, 2012. "Analyzing Consumers’ Preferences for Apple Attributes in Tirana, Albania," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(4), pages 1-20, November.
25. Videras, Julio & Owen, Ann L. & Conover, Emily & Wu, Stephen, 2012. "The influence of social relationships on pro-environment behaviors," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 35-50.
26. Fok, Dennis & Paap, Richard & Franses, Philip Hans, 2012. "Modeling dynamic effects of promotion on interpurchase times," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3055-3069.
    • Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
27. Yeosun Yoon & Heejung Chung, 2016. "New Forms of Dualization? Labour Market Segmentation Patterns in the UK from the Late 90s Until the Post-crisis in the Late 2000s," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 609-631, September.
28. Chen, Wendy Y. & Hua, Junyi, 2017. "Heterogeneity in resident perceptions of a bio-cultural heritage in Hong Kong: A latent class factor analysis," Ecosystem Services, Elsevier, vol. 24(C), pages 170-179.
29. Gioacchino Fazio & Francesca Giambona & Erasmo Vassallo & Elli Vassiliadis, 2018. "A Measure of Trust: The Italian Regional Divide in a Latent Class Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 209-242, November.
30. Chih-chiang Yang, 2007. "Confirmatory and Structural Categorical Latent Variables Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 831-849, December.
31. 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.
32. Estrella Díaz & David Martín-Consuegra & Hooman Estelami, 2016. "A persuasive-based latent class segmentation analysis of luxury brand websites," Electronic Commerce Research, Springer, vol. 16(3), pages 401-424, September.
33. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.
34. Díaz, Estrella & Martín-Consuegra, David, 2016. "A latent class segmentation analysis of airlines based on website evaluation," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 20-40.
35. Vermunt, Jeroen K., 2007. "A hierarchical mixture model for clustering three-way data sets," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5368-5376, July.
36. Monica Pratesi & Claudio Ceccarelli & Stefano Menghinello, 2021. "Citizen-Generated Data and Official Statistics: an application to SDG indicators," Discussion Papers 2021/274, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
37. Maaz Gardezi & J. Gordon Arbuckle, 2019. "Spatially Representing Vulnerability to Extreme Rain Events Using Midwestern Farmers’ Objective and Perceived Attributes of Adaptive Capacity," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 17-34, January.
38. Chiara Dal Bianco & Omar Paccagnella & Roberta Varriale, 2016. "A multilevel latent class analysis of the purchasing channels among European consumers," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 293-309, December.