Results 31 to 40 of about 543,991 (343)

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, A. Hadgu, A.E. Raftery, A.P. Dempster, B. Efron, B. Muthén, C. Biernacki, C. Fraley, C.M. Bishop, D. Karlis, D.J. Bartholomew, D.J. Bartholomew, D.J. Bartholomew, D.K. Pauler, E.A. Erosheva, E.A. Erosheva, E.A. Erosheva, E.S. Allman, G. Celeux, G. McLachlan, G. McLachlan, G. McLachlan, G. Rasch, G. Schwarz, Isabella Gollini, J. Baek, J. Rost, J. Rost, J. Vermunt, J. Vermunt, J. Vermunt, J.L. Andrews, J.S. Uebersax, L.A. Goodman, M. Abramowitz, M. Davier von, M. Davier von, M.D. Sammel, M.E. Tipping, N. Dean, P.D. McNicholas, P.D. McNicholas, R.D. Bock, S. Brin, S.E. Fienberg, T.I. Lin, T.I. Lin, T.S. Jaakkola, Thomas Brendan Murphy, Y. Qu   +49 more
core   +2 more sources

Multimethod Latent Class Analysis

Frontiers in Psychology, 2015
Correct and, hence, valid classifications of individuals are of high importance in the social sciences as these classifications are the basis for diagnoses and / or the assignment to a treatment.
Fridtjof W Nussbeck, Michael eEid
doaj   +1 more source

Latent Class Analysis with Arbitrary-Distribution Responses

Entropy
The latent class model has been proposed as a powerful tool in understanding human behavior for various fields such as social, psychological, behavioral, and biological sciences.
Huan Qing, Xiaofei Xu
doaj   +1 more source

Bourdieu, gli onnivori, i post-moderni e le pratiche culturali

Quaderni di Sociologia, 2010
Both “highbrow omnivorousness” hypothesis and “postmodern” thesis claim that Bourdieu’s homology theory fails to predict the relationship between social position and lifestyle.
Marco Terraneo
doaj   +1 more source

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, Rodrigues, Filipe, Abou-Zeid, Maya   +2 more
openaire   +3 more sources

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, Jinkyung Ha, Caroline S. Blaum, Kimberlee Gretebeck, Neil B. Alexander   +4 more
doaj   +1 more source

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, Russell Houpt, Danielle Rodgers   +2 more
doaj   +1 more source

Latent tree models

, 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 adverse childhood experiences and depressive symptom trajectories in young adults: A longitudinal study of college students in China

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, Shuqin Li, Rui Wang, Erica Thomas, Zhicheng Jiang, Zhicheng Jiang, Zhengge Jin, Zhengge Jin, Ruoyu Li, Ruoyu Li, Yan Qian, Xianbing Song, Ying Sun, Ying Sun, Shichen Zhang, Shichen Zhang, Ruoling Chen, Yuhui Wan, Yuhui Wan   +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