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Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation
Mathematics, 2021 The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio +2 more
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A Zero-Inflated Box-Cox Normal Unipolar Item Response Model for Measuring Constructs of Psychopathology [PDF]
, 2018 This research introduces a latent class item response theory (IRT) approach for modeling item response data from zero-inflated, positively skewed, and arguably unipolar constructs of psychopathology. As motivating data, the authors use 4,925 responses to
Liu, Yang, Magnus, Brooke E.
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A nested expectation-maximization algorithm for latent class models with covariates [PDF]
, 2018 We develop a nested EM routine for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, guarantees monotone log-likelihood sequences along with improved convergence ...
Canale, Antonio +2 more
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, 2020 Application of latent class model for labelling astronomical images based on votes from vetters.
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poLCA: An R Package for Polytomous Variable Latent Class Analysis
Journal of Statistical Software, 2011 poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line.
Drew A. Linzer, Jeffrey B. Lewis
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Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
Nursing Open, 2023 Aim To determine differences in kinesiophobia levels among COPD patients at different time points 6 months after discharge；To identify potential subgroups of COPD patients who perceived different levels of kinesiophobia over time；and to evaluate ...
Facun Liang +7 more
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Spotlight the Negatives: A Generalized Discriminative Latent Model [PDF]
, 2015 Discriminative latent variable models (LVM) are frequently applied to various visual recognition tasks. In these systems the latent (hidden) variables provide a formalism for modeling structured variation of visual features.
Arefiyan, Mostafa +3 more
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Latent class models for classification [PDF]
Computational Statistics & Data Analysis, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vermunt, J.K., Magidson, J.
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Detecting Technological Heterogeneity in New York Dairy Farms [PDF]
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different ...
Alvarez, Antonio +2 more
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Behavioral SciencesStudent leadership prepares students for responsibilities, such as taking on specific tasks and assuming leadership roles in their future personal and professional lives.
Deniz Görgülü +3 more
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