Discrete latent variable models
F Bartolucci, S Pandolfi… - Annual Review of Statistics …, 2022 - annualreviews.org
We review the discrete latent variable approach, which is very popular in statistics and
related fields. It allows us to formulate interpretable and flexible models that can be used to …
related fields. It allows us to formulate interpretable and flexible models that can be used to …
Model selection for mixture models–perspectives and strategies
G Celeux, S Frühwirth-Schnatter… - Handbook of mixture …, 2019 - taylorfrancis.com
This chapter presents some of the Bayesian solutions to the different interpretations of
picking the “right” number of components in a mixture, before concluding on the ill-posed …
picking the “right” number of components in a mixture, before concluding on the ill-posed …
Variable selection for model-based clustering using the integrated complete-data likelihood
Variable selection in cluster analysis is important yet challenging. It can be achieved by
regularization methods, which realize a trade-off between the clustering accuracy and the …
regularization methods, which realize a trade-off between the clustering accuracy and the …
[HTML][HTML] The imbalance of wanting and liking contributes to a bias of internal attention towards positive consequences of tobacco smoking
Previous studies have shown that addiction is associated with an attentional bias towards
external stimuli. However, it is currently unclear whether this bias extends to internal …
external stimuli. However, it is currently unclear whether this bias extends to internal …
Clustering approach toward large truck crash analysis
Heterogeneity of crash data masks the underlying crash patterns and perplexes crash
analysis. This paper aims to explore an advanced high-dimensional clustering approach to …
analysis. This paper aims to explore an advanced high-dimensional clustering approach to …
[HTML][HTML] Dynamics of hidden brain states when people solve verbal puzzles
When people try to solve a problem, they go through distinct steps (encoding, ideation,
evaluation, etc.) recurrently and spontaneously. To disentangle different cognitive processes …
evaluation, etc.) recurrently and spontaneously. To disentangle different cognitive processes …
Latent profile/class analysis identifying differentiated intervention effects
Background The randomized clinical trial is generally considered the most rigorous study
design for evaluating overall intervention effects. Because of patient heterogeneity …
design for evaluating overall intervention effects. Because of patient heterogeneity …
An observational study of Internet behaviours for adolescent females following sexual abuse
Child sexual abuse (CSA) is associated with revictimization and sexual risk-taking
behaviours. The Internet has increased the opportunities for teens to access sexually explicit …
behaviours. The Internet has increased the opportunities for teens to access sexually explicit …
[HTML][HTML] Optimal Bayesian estimators for latent variable cluster models
R Rastelli, N Friel - Statistics and Computing, 2018 - Springer
In cluster analysis interest lies in probabilistically capturing partitions of individuals, items or
observations into groups, such that those belonging to the same group share similar …
observations into groups, such that those belonging to the same group share similar …
[HTML][HTML] A novel computational strategy for DNA methylation imputation using mixture regression model (MRM)
Background DNA methylation is an important heritable epigenetic mark that plays a crucial
role in transcriptional regulation and the pathogenesis of various human disorders. The …
role in transcriptional regulation and the pathogenesis of various human disorders. The …