Results 31 to 40 of about 542,387 (197)
Mixture of latent trait analyzers for model-based clustering of categorical data [PDF]
, 2013 Model-based clustering methods for continuous data are well established and commonly used in a wide range of applications. However, model-based clustering methods for categorical data are less standard. Latent class analysis is a commonly used method for
A. Frank +49 more
core +2 more sources
Gaussian process latent class choice models
Transportation Research Part C: Emerging Technologies, 2022 We present a Gaussian Process - Latent Class Choice Model (GP-LCCM) to integrate a non-parametric class of probabilistic machine learning within discrete choice models (DCMs). Gaussian Processes (GPs) are kernel-based algorithms that incorporate expert knowledge by assuming priors over latent functions rather than priors over parameters, which makes ...
Sfeir, Georges +2 more
openaire +3 more sources
, 2017 Latent tree models are graphical models defined on trees, in which only a subset of variables is observed. They were first discussed by Judea Pearl as tree-decomposable distributions to generalise star-decomposable distributions such as the latent class ...
Zwiernik, Piotr
core +1 more source
Patterns of physical activity in sedentary older individuals with type 2 diabetes
Clinical Diabetes and Endocrinology, 2018 Background The Community Healthy Activities Model Program for Seniors (CHAMPS) survey, summarized into weekly caloric expenditures, is a common physical activity (PA) assessment tool among older adults.
Pearl G. Lee +4 more
doaj +1 more source
Frontiers in Psychiatry, 2022 BackgroundAdverse childhood experiences (ACEs) tend to cluster together in daily life, and most studies focus on the level of depression at certain points, but the dynamic process of depression is often neglected.
Shuqin Li +18 more
doaj +1 more source
Variable assessment in latent class models [PDF]
Computational Statistics & Data Analysis, 2014 The latent class model provides an important platform for jointly modeling mixed-mode data - i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statisticians, few studies are focused on
Zhang, Q., Ip, E. H.
openaire +3 more sources
Identifiability of Latent Class Models with Covariates
Psychometrika, 2022 AbstractLatent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) studied ...
Jing Ouyang, Gongjun Xu
openaire +3 more sources
Model Fit and Comparison in Finite Mixture Models: A Review and a Novel Approach
Frontiers in Education, 2021 One of the greatest challenges in the application of finite mixture models is model comparison. A variety of statistical fit indices exist, including information criteria, approximate likelihood ratio tests, and resampling techniques; however, none of ...
Kevin J. Grimm +2 more
doaj +1 more source
Bayesian Variable Selection for Latent Class Models [PDF]
Biometrics, 2010 In this article we develop a latent class model with class probabilities that depend on subject-specific covariates. One of our major goals is to identify important predictors of latent classes. We consider methodology that allows estimation of latent classes while allowing for variable selection uncertainty.
Ghosh, Joyee +2 more
openaire +3 more sources
, 2016 We discuss Bayesian analysis of multivariate time series with dynamic factor models that exploit time-adaptive sparsity in model parametrizations via the latent threshold approach.
Nakajima, Jouchi, West, Mike
core +1 more source