Semiparametric multinomial mixed-effects models: a university students profiling tool

DOI10.1214/21-AOAS1559zbMath1498.62324MaRDI QIDQ2170415

Chiara Masci, Anna Maria Paganoni, Francesca Ieva

Publication date: 5 September 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

higher educationsemiparametric statisticsunsupervised clusteringmultinomial mixed-effects regression

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25) Generalized linear models (logistic models) (62J12)

Cites Work

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• The geometry of mixture likelihoods, part II: The exponential family
• The geometry of mixture likelihoods: A general theory
• Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients
• General design Bayesian generalized linear mixed models
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Maximum Likelihood Variance Components Estimation for Binary Data
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• The relationship between multilevel models and non‐parametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• Random Effects Modeling of Multiple Binomial Responses Using the Multivariate Binomial Logit‐Normal Distribution
• Approximate Inference in Generalized Linear Mixed Models
• Improved Approximations for Multilevel Models with Binary Responses
• Bias correction in generalised linear mixed models with a single component of dispersion
• Generalized linear mixed models a pseudo-likelihood approach
• How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study
• Handbook of Multilevel Analysis

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