Search Results

On Finite Mixture Modeling of Change-point Processes,
Xuwen Zhu and Yana Melnykov, in Journal of Classification (2022)
Keywords: Finite mixture modeling, Change point process, EM algorithm

Inpatient length of stay: a finite mixture modeling analysis,
Chungkham Singh and Laishram Ladusingh, in The European Journal of Health Economics (2010)
Keywords: Finite mixture modeling, Inpatient length of stay, Heterogeneity, C5,

Heterogeneity in speed of adjustment using finite mixture models,
Robert B. Durand, William H. Greene, Mark Harris and Joye Khoo, in Economic Modelling (2022)
Keywords: Speed of leverage adjustment; Finite mixture models; Dynamic panel data;

Regularized Finite Mixture Models for Probability Trajectories,
Kerby Shedden and Robert Zucker, in Psychometrika (2008)
Keywords: finite mixture models, growth mixture models, latent class analysis, functional data analysis, penalized likelihood, longitudinal data analysis, trajectory analysis,

Detecting Housing Submarkets using Unsupervised Learning of Finite Mixture Models,
Christos Ntantamis, from Department of Economics and Business Economics, Aarhus University (2010)
Keywords: Hedonic Models, Finite Mixture Model, Spatial Heterogeneity, Housing Submarkets

A finite mixture latent trajectory model for hirings and separations in the labor market,
Silvia Bacci, Francesco Bartolucci, Claudia Pigini and Marcello Signorelli, from University Library of Munich, Germany (2014)
Keywords: Finite mixture models, Latent trajectory model, Compulsory communications, hirings and separations

An effective strategy for initializing the EM algorithm in finite mixture models,
Semhar Michael and Volodymyr Melnykov, in Advances in Data Analysis and Classification (2016)
Keywords: Finite mixture models, EM algorithm, Initialization, Model averaging, BIC

The benefits of incorporating utility dependencies in finite mixture probit models,
Friederike Paetz and Winfried J. Steiner, in OR Spectrum: Quantitative Approaches in Management (2017)
Keywords: Conjoint choice models, Finite mixture models, Heterogeneity, Utility dependencies

Computing Finite Mixture Estimators in the Tails,
Marilena Furno, in Journal of Classification (2023)
Keywords: Finite mixture models, Quantiles, Expectiles, M-quantiles

Robust estimation for the order of finite mixture models,
Sangyeol Lee and Taewook Lee, in Metrika: International Journal for Theoretical and Applied Statistics (2008)
Keywords: Finite mixture model, Non-identifiable model, Penalized minimum density power divergence estimator, Robust estimator,

Finite Mixture Modeling for Program Evaluation: Resampling and Pre-processing Approaches,
Zachary K. Collier, Haobai Zhang and Bridgette Johnson, in Evaluation Review (2021)
Keywords: finite mixture models; k-means clustering; cross-validation

Disaggregating power consumption of commercial buildings based on the finite mixture model,
Yang Zhou, Zhixiong Shi, Zhengyu Shi, Qing Gao and Libo Wu, in Applied Energy (2019)
Keywords: Energy disaggregation; Hourly consumption data; Finite mixture model;

Measuring income equity in the demand for healthcare with finite mixture models,
Galina Besstremyannaya, in Applied Econometrics (2017)
Keywords: healthcare demand; equity; generalized linear models; latent class; finite mixture

Finite Mixture Models for Linked Survey and Administrative Data: Estimation and Post-estimation,
Stephen Jenkins and Fernando Rios-Avila, from Institute of Labor Economics (IZA) (2021)
Keywords: measurement error, linked survey and administrative data, finite mixture models

Minimum distance estimation in a finite mixture regression model,
Qingguo Tang and Rohana J. Karunamuni, in Journal of Multivariate Analysis (2013)
Keywords: Finite mixture regression model; Minimum Hellinger distance estimators; Asymptotic normality; Robust estimators;

Price Optimization Under the Finite-Mixture Logit Model,
Ruben van de Geer and Arnoud V. den Boer, in Management Science (2022)
Keywords: price optimization, finite-mixture logit model, fully polynomial-time approximation scheme

Nonparametric estimation of finite mixtures,
Stéphane Bonhomme, Koen Jochmans and Jean-Marc Robin, from HAL (2013)
Keywords: Series expansion,Nonparametric estimation,Finite-mixture model,Simultaneousdiagonalization system

Nonparametric estimation of finite mixtures,
Stéphane Bonhomme, Koen Jochmans and Jean-Marc Robin, from HAL (2013)
Keywords: Series expansion,Nonparametric estimation,Finite-mixture model,Simultaneousdiagonalization system

Nonparametric estimation of finite mixtures,
Stéphane Bonhomme, Koen Jochmans and Jean-Marc Robin, from HAL (2013)
Keywords: Series expansion,Nonparametric estimation,Finite-mixture model,Simultaneousdiagonalization system

Finite mixture of regression models for censored data based on scale mixtures of normal distributions,
Camila Borelli Zeller, Celso Rômulo Barbosa Cabral, Víctor Hugo Lachos and Luis Benites, in Advances in Data Analysis and Classification (2019)
Keywords: Censoring, EM-type algorithm, Finite mixture of regression models, Scale mixtures of normal distributions

Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models,
Teague R. Henry, Kathleen M. Gates, Mitchell J. Prinstein and Douglas Steinley, in Psychometrika (2020)
Keywords: p*, exponential random graphs, finite mixture modeling, individual differences modeling

Approximation of the variance gamma model with a finite mixture of normals,
Angela Loregian, Lorenzo Mercuri and Edit Rroji, in Statistics & Probability Letters (2012)
Keywords: Variance gamma distribution; Finite mixture; EM algorithm;

A Bayesian analysis of finite mixtures in the LISREL model,
Hong-Tu Zhu and Sik-Yum Lee, in Psychometrika (2001)
Keywords: Bayesian analysis, finite mixtures, LISREL models, Gibbs sampler, conditional distributions, goodness-of-fit assessment, Bayesian classification, residual and outlier analyses,

Estimating Components in Finite Mixtures and Hidden Markov Models,
Donald Poskitt and Jing Zhang, from Monash University, Department of Econometrics and Business Statistics (2004)
Keywords: Finite mixture, hidden Markov process, model selection, number of states, penalized quasi-likelihood, generalized quasi-likelihood ratio, strong consistency.

Finite Mixture Dynamic Regression Modeling of Panel Data With Implications for Dynamic Response Analysis,
David Kaplan, in Journal of Educational and Behavioral Statistics (2005)
Keywords: dynamic regression; dynamic response modeling; finite mixture modeling

Structural equation models for finite mixtures: Simulation results and empirical applications,
Dirk Temme, John R. Williams and Lutz Hildebrandt, from Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes (2002)
Keywords: Monte Carlo simulation, Structural equation modelling, Unobserved heterogeneity, Model-based clustering, Finite mixtures

Finite mixture of varying coefficient model: Estimation and component selection,
Mao Ye, Zhao-Hua Lu, Yimei Li and Xinyuan Song, in Journal of Multivariate Analysis (2019)
Keywords: Expectation maximization algorithm; Finite mixture model; Model selection; Random effects; SCAD; Varying coefficients;

Finite mixture of hidden Markov models for tensor-variate time series data,
Abdullah Asilkalkan, Xuwen Zhu and Shuchismita Sarkar, in Advances in Data Analysis and Classification (2024)
Keywords: Finite mixture model, Hidden Markov model, Forward-backward algorithm, Tensor-variate time series

Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology,
Semhar Michael and Volodymyr Melnykov, in Journal of Classification (2016)
Keywords: Finite mixture models, Model-based clustering, EM algorithm, Kalman filter, Regression time series, Annual tree rings.

Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data,
Francisco H. C. Alencar, Larissa A Matos and Víctor H. Lachos, in Journal of Classification (2022)
Keywords: Censored data, Damped exponential correlation, EM algorithm, Finite mixture models, Linear mixed-effects models

Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity,
Kamel Jedidi, Harsharanjeet S. Jagpal and Wayne S. DeSarbo, in Marketing Science (1997)
Keywords: structural equation models, market segmentation, finite mixture models, confirmatory factor analysis, customer satisfaction

Finite mixtures of skew Laplace normal distributions with random skewness,
Fatma Zehra Doğru and Olcay Arslan, in Computational Statistics (2021)
Keywords: EM algorithm, Finite mixture model, ML, SMSLN

Are all Homeowners Willing to Pay for Better Schools? ─ Evidence from a Finite Mixture Model Approach,
Jee W. Hwang, Chun Kuang and Okmyung Bin, in The Journal of Real Estate Finance and Economics (2019)
Keywords: Home price premium, Heterogeneity, Finite mixture model, School quality

Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions,
Sung Hoo Kim and Patricia Mokhtarian, in Transportation Research Part B: Methodological (2023)
Keywords: Mixture model; Finite mixture; Latent class model; Heterogeneity; Market segmentation; Nonnegative matrix factorization;

Explaining Heterogeneity in Risk Preferences Using a Finite Mixture Model,
Narges Hajimoladarvish , in Journal of Money and Economy (2021)
Keywords: Space effect, Cumulative prospect theory, Decision making under risk, Finite mixture model.

New approaches to compute Bayes factor in finite mixture models,
M.J. Rufo, J. Martín and C.J. Pérez, in Computational Statistics & Data Analysis (2010)
Keywords: Bayes factor Cluster sampling Conjugate prior distribution Finite mixture model Marginal distribution Monte Carlo methods

A Finite Mixture Logit Model to Segment and Predict Electronic Payments System Adoption,
Ravi Bapna, Paulo Goes, Kwok Kee Wei and Zhongju Zhang, in Information Systems Research (2011)
Keywords: finite mixture model, logistic regression, market segmentation, clustering analysis, hierarchical logit regression, electronic payments systems

Finite mixture modeling of censored data using the multivariate Student-t distribution,
Víctor H. Lachos, Edgar J. López Moreno, Kun Chen and Celso Rômulo Barbosa Cabral, in Journal of Multivariate Analysis (2017)
Keywords: Censored data; Detection limit; EM-type algorithms; Finite mixture models; Multivariate Student-t;

Nonparametric Identification And Estimation Of Finite Mixture Models Of Dynamic Discrete Choices,
Hiroyuki Kasahara and Katsumi Shimotsu, from Economics Department, Queen's University (2006)
Keywords: dynamic discrete choice models, finite mixture, nonparametric identification, panel data, sieve estimator, unobserved heterogeneity

Variable selection in finite mixture of regression models with an unknown number of components,
Kuo-Jung Lee, Martin Feldkircher and Yi-Chi Chen, in Computational Statistics & Data Analysis (2021)
Keywords: Finite mixture of regression models; Bayesian variable selection; Unknown number of components; High-dimensional data; Financial crisis;

Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering,
Derek S. Young, Xi Chen, Dilrukshi C. Hewage and Ricardo Nilo-Poyanco, in Advances in Data Analysis and Classification (2019)
Keywords: ECM algorithms, Finite mixture models, Identifiability, Mixturegram, Multivariate Gaussian copula, Starting values

Finite mixture of regression models for censored data based on the skew-t distribution,
Jiwon Park, Dipak K. Dey and Víctor H. Lachos, in Computational Statistics (2024)
Keywords: Censored regression, EM-type algorithms, Finite mixture models, Skew-t distribution, Truncated distributions

Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices,
Hiroyuki Kasahara and Katsumi Shimotsu, from University of Western Ontario, Department of Economics (2006)
Keywords: dynamic discrete choice models; finite mixture; nonparametric identification; panel data; sieve estimator; unobserved heterogeneity

Housing Market Segmentation: A Finite Mixture Approach,
Steven C. Bourassa, Martijn I. Dröes and Martin Hoesli, in De Economist (2024)
Keywords: Housing market segmentation, Hedonic model, Finite mixture model

Likelihood inference in some finite mixture models,
Xiaohong Chen, Maria Ponomareva and Elie Tamer, in Journal of Econometrics (2014)
Keywords: Finite mixtures; Parametric bootstrap; Profiled likelihood ratio statistic;

A finite mixture model for the clustering of mixed-mode data,
B. S. Everitt, in Statistics & Probability Letters (1988)
Keywords: finite mixtures clustering maximum likelihood estimation simplex algorith

Finite mixture models for linked survey and administrative data: Estimation and postestimation,
Stephen Jenkins and Fernando Rios-Avila, in Stata Journal (2023)
Keywords: ky_fit, ky_estat, ky_sim, linked survey and administrative data, measurement error, finite mixture models, latent class models

Bayesian Hierarchical Finite Mixture Models of Reading Times: A Case Study,
Shravan Vasishth, Bruno Nicenboim, Nicolas Chopin and Robin Ryder, from Center for Research in Economics and Statistics (2017)
Keywords: Bayesian Hierarchical Finite Mixture Models; Psycholinguistics; Sentence Comprehension; Chinese Relative Clauses; Direct-Access Model; K-fold Cross-Validation

Subspace clustering for the finite mixture of generalized hyperbolic distributions,
Nam-Hwui Kim and Ryan Browne, in Advances in Data Analysis and Classification (2019)
Keywords: Dimensionality reduction, Finite mixture models, Generalized hyperbolic distribution

Hypothesis testing for finite mixture models,
Supawadee Wichitchan, Weixin Yao and Guangren Yang, in Computational Statistics & Data Analysis (2019)
Keywords: Mixture models; Hypothesis testing; Goodness of fit test; Number of components; Model selection;

The Impact of Ignoring a Level of Nesting Structure in Multilevel Mixture Model,
Qi Chen, in SAGE Open (2012)
Keywords: multilevel mixture model; finite mixture model; multilevel modeling; intraclass correlation

The Use of Finite Mixtures of Lognormal Distribution for the Modelling of Income Distributions,
Ivana Malá, in Acta Oeconomica Pragensia (2012)
Keywords: finite mixture of distributions, income distribution, lognormal distribution

A flexible approach to finite mixture regression models for multivariate mixed responses,
Marco Alfò and Irene Rocchetti, in Statistics & Probability Letters (2013)
Keywords: Finite mixtures; Mixed data; Concomitant latent variables;

Econometric Modeling of Business Telecommunications Demand using RETINA and Finite Mixtures,
Massimiliano Marinucci and Teodosio Pérez-Amaral, from University Library of Munich, Germany (2005)
Keywords: Telecommunication Demand Models, Local calls, inter-LATA calls, intra-LATA calls, RETINA, Flexible Functional Forms, Heterogeneity, Finite Mixtures.

Bayesian inference for finite mixtures of generalized linear models with random effects,
Peter Lenk and Wayne DeSarbo, in Psychometrika (2000)
Keywords: Bayesian inference, consumer behavior, finite mixtures, generalized linear models, heterogeneity, latent class analysis, Markov chain Monte Carlo,

An Empirical Comparison of Methods for Clustering Problems: Are There Benefits from Having a Statistical Model?,
Andrews Rick L, Brusco Michael, Currim Imran S and Davis Brennan, in Review of Marketing Science (2010)
Keywords: clustering, finite mixture models

Identifying finite mixture models in the presence of moment-generating function: application in medical care using a zero-inflated binomial model,
Hiroaki Masuhara, in Economics Bulletin (2019)
Keywords: Finite mixtures, identifiability, zero-inflated

Likelihood inference in some finite mixture models,
Xiaohong Chen, Maria Ponomareva and Elie Tamer, from Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2013)
Keywords: Finite mixtures, parametric bootstrap, profiled likelihood ratio statistic, partial identification, parameter on the boundary

Likelihood Inference in Some Finite Mixture Models,
Xiaohong Chen, Maria Ponomareva and Elie Tamer, from Cowles Foundation for Research in Economics, Yale University (2013)
Keywords: Finite mixtures, Parametric bootstrap, Profiled likelihood ratio statistic, Partial identification, Parameter on the boundary

Beta Regression Finite Mixture Models of Polarization and Priming,
Michael Smithson, Edgar C. Merkle and Jay Verkuilen, in Journal of Educational and Behavioral Statistics (2011)
Keywords: beta distribution; mixture model; polarization; priming; anchoring

Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies,
Xiaosun Lu, Yangxin Huang and Yiliang Zhu, in Computational Statistics & Data Analysis (2016)
Keywords: AIDS clinical trials; Bayesian inference; Finite mixture models; NLME models; Longitudinal data analysis;

A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences,
Ahmadreza Faghih-Imani and Naveen Eluru, in Transportation (2020)
Keywords: Bicycle sharing systems, CitiBike New York, Finite mixture model, Multinomial logit model, Destination choice

Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion,
Marco Bertoletti, Nial Friel and Riccardo Rastelli, in METRON (2015)
Keywords: Integrated completed likelihood, Finite mixture models , Model-based clustering, Greedy search,

Equity in Swedish Health Care Reconsidered: New Results based on the Finite Mixture Model,
Ulf-G. Gerdtham and Pravin Trivedi, from Stockholm School of Economics (2000)
Keywords: Equity; health care; count data; latent class models; finite mixture models

Modellselektion in Finite Mixture PLS-Modellen,
Marko Sarstedt and André Salcher, from University of Munich, Munich School of Management (2007)
Keywords: FIMIX PLS; Model Selection; Finite Mixture; Partial Least Squares; PLS; Information Criteria

Finite Mixture for Panels with Fixed Effects,
Partha Deb and Pravin Trivedi, from Hunter College Department of Economics (2011)
Keywords: Finite Mixture Models, Fixed Effects, Panel Data, Health and Retirement Study, Expectations Maximization,

A modified EM algorithm for mixture models based on Bregman divergence,
Yu Fujimoto and Noboru Murata, in Annals of the Institute of Statistical Mathematics (2007)
Keywords: Bregman divergence, EM algorithm, Finite mixture models,

Stochastic Expected Utility and Prospect Theory in a Horse Race: A Finite Mixture Approach,
Adrian Bruhin, from Socioeconomic Institute - University of Zurich (2008)
Keywords: stochastic expected etility theory, prospect theory, finite mixture models

Evolution of the global distribution of carbon dioxide: A finite mixture analysis,
Michele Battisti, Michael S. Delgado and Christopher Parmeter, in Resource and Energy Economics (2015)
Keywords: Carbon emissions; Emissions groups; Heterogeneity; Abatement policy; Finite mixture models;

Evolution of the Global Distribution of Carbon Dioxide: A Finite Mixture Analysis,
Michele Battisti, Michael S. Delgado and Christopher Parmeter, from University of Miami, Department of Economics (2013)
Keywords: Carbon emissions; Emissions groups; Heterogeneity; Abatement policy; Finite mixture models

Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes,
Youmi Suk, Jee-Seon Kim and Hyunseung Kang, in Journal of Educational and Behavioral Statistics (2021)
Keywords: causal inference; machine learning methods; observational studies; multilevel propensity score matching; finite mixture modeling

A Finite Mixture Modelling Perspective for Combining Experts’ Opinions with an Application to Quantile-Based Risk Measures,
Despoina Makariou, Pauline Barrieu and George Tzougas, in Risks (2021)
Keywords: opinion pooling; finite mixture models; expectation maximization algorithm; quantile-based risk measures

Multivariate measurement error models using finite mixtures of skew-Student t distributions,
Celso Rômulo Barbosa Cabral, Víctor Hugo Lachos and Camila Borelli Zeller, in Journal of Multivariate Analysis (2014)
Keywords: Measurement error model; Finite mixtures; EM algorithm; Skew-normal distribution; Skew-Student t distribution; Comparative calibration;

Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach,
Christian Ringle, from University Library of Munich, Germany (2006)
Keywords: partial least squares; PLS; path modeling; segmentation; latent class; finite mixture; customer satisfaction; brand preference

A finite mixture modelling perspective for combining experts’ opinions with an application to quantile-based risk measures,
Despoina Makariou, Pauline Barrieu and George Tzougas, from London School of Economics and Political Science, LSE Library (2021)
Keywords: opinion pooling; finite mixture models; expectation maximization algorithm; quantile-based risk measures; Internal OA fund

Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution,
Francisco H. C. Alencar, Christian E. Galarza, Larissa A. Matos and Victor H. Lachos, in Advances in Data Analysis and Classification (2022)
Keywords: Censored data, Detection limit, EM-type algorithms, Finite mixture models, Multivariate skew-normal distribution, Truncated distributions

Progressive stress accelerated life tests under finite mixture models,
Alaa Abdel-Hamid and Essam AL-Hussaini, in Metrika: International Journal for Theoretical and Applied Statistics (2007)
Keywords: Finite mixtures, Accelerated life tests, Progressive stress, Cumulative exposure model, Type-I censoring, Maximum likelihood estimation, Local Fisher information matrix, Simulation,

The robust estimation method for a finite mixture of Poisson mixed-effect models,
Liming Xiang, Kelvin K.W. Yau and Andy H. Lee, in Computational Statistics & Data Analysis (2012)
Keywords: Finite mixture; Minimum Hellinger distance; Non-parametric maximum likelihood; Robustness;

Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects,
Bettina Grün and Friedrich Leisch, in Journal of Classification (2008)
Keywords: Conditional logit, Finite mixture, Identifiability, Multinomial logit, Unobserved heterogeneity,

Estimation of finite mixture models of skew-symmetric circular distributions,
Yoichi Miyata, Takayuki Shiohama and Toshihiro Abe, in Metrika: International Journal for Theoretical and Applied Statistics (2020)
Keywords: Circular statistics, Consistency, EM algorithm, Finite mixtures, Skew-symmetric distributions

A New Direction of Fund Rating Based on the Finite Normal Mixture Model,
Zhangpeng Gao and Shahidur Rahman, from Nanyang Technological University, School of Social Sciences, Economic Growth Centre (2006)
Keywords: Fund Rating, Fund Performance, Finite Normal Mixture, Bootstrap, EM Algorithm

On stochastic comparisons of finite α-mixture models,
Ghobad Barmalzan, Sajad Kosari and Yiying Zhang, in Statistics & Probability Letters (2021)
Keywords: Stochastic orders; α-mixture model; Majorization; Semi-parametric survival function;

Finite mixtures in confirmatory factor-analysis models,
Yiu-Fai Yung, in Psychometrika (1997)
Keywords: covariance structures, mean structures, mixture models, factor analysis,

Mixture Normal Conditional Correlation Models,
Maria Putintseva, from Swiss Finance Institute (2012)
Keywords: Finite Mixtures, Dynamic Conditional Correlation, Forecasting, Multivariate Modelling, Predictive Ability

Heterogeneous effect of coinsurance rate on healthcare costs: generalized finite mixtures and matching estimators,
Galina Besstremyannaya, from Stanford Institute for Economic Policy Research (2014)
Keywords: finite mixture model; generalized linear model; matching estimators

A Multilevel Mixture IRT Model With an Application to DIF,
Sun-Joo Cho and Allan S. Cohen, in Journal of Educational and Behavioral Statistics (2010)
Keywords: finite mixture modeling; item response theory; multilevel modeling; MCMC

Automatic and Probabilistic Foehn Diagnosis with a Statistical Mixture Model,
David Plavcan, Georg J. Mayr and Achim Zeileis, from Faculty of Economics and Statistics, Universität Innsbruck (2013)
Keywords: foehn wind, foehn diagnosis, finite mixture model, model-based clustering

Modelling Multiple Regimes in Economic Growth by Mixtures of Generalised Nonlinear Models,
Sanela Omerovic, Herwig Friedl and Bettina Grün, in Econometrics and Statistics (2022)
Keywords: Finite mixture model; Generalised nonlinear model; Solow model; EM algorithm;

A note on the fourth cumulant of a finite mixture distribution,
Nicola Loperfido, in Journal of Multivariate Analysis (2014)
Keywords: Cluster analysis; Covariance testing; Finite mixture model; Generalized skew-normal; Kurtosis; Tensor rank;

Estimating Finite Mixtures of Ordinal Graphical Models,
Kevin H. Lee, Qian Chen, Wayne S. DeSarbo and Lingzhou Xue, in Psychometrika (2022)
Keywords: Gaussian mixture model, Gaussian graphical model, ordinal data, latent variables, network psychometrics, EM algorithm