Results 31 to 40 of about 4,033,484 (300)

Correlations among the latent variables.

, 2021
Correlations among the latent variables.
Shih-Tse Wang (11654804), Yao-Chien Tang (11654807)   +1 more
core   +1 more source

Latent class analysis variable selection [PDF]

, 2009
We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
Nema Dean, Raftery, A. E., Adrian E. Raftery, Dean, N.   +3 more
core   +1 more source

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

Agronomy, 2018
Future challenges to the role of durum and bread wheat in global food security will be shaped by their potential to produce larger yields and better nutritional quality, while increasingly adapting to multiple biotic and abiotic stresses in the view of ...
Abdullah A. Jaradat
doaj   +1 more source

Recovering Latent Variables by Matching [PDF]

Journal of the American Statistical Association, 2020
We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The method consists in generating pseudo-observations from the latent variables, so that the Euclidean distance between the model's predictions and their matched counterparts in the data is minimized.
Arellano, Manuel, Bonhomme, Stéphane
openaire   +3 more sources

Low-Dimensional Dynamics of Brain Activity Associated with Manual Acupuncture in Healthy Subjects

Sensors, 2021
Acupuncture is one of the oldest traditional medical treatments in Asian countries. However, the scientific explanation regarding the therapeutic effect of acupuncture is still unknown.
Xinmeng Guo, Jiang Wang
doaj   +1 more source

Latent Variable Forests for Latent Variable Score Estimation

Educational and Psychological Measurement
We develop a latent variable forest (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on confirmatory factor analysis (CFA) models with ordinal and/or numerical response variables.
Classe, Franz, Kern, Christoph
openaire   +2 more sources

HTMT ratio of latent variables.

, 2022
HTMT ratio of latent variables.
Piyumi Jayasekara (14259148), Nilmini Rathnayake (14259142), Inuri Yasara (14259145), Dewni Ruwanpura (14259151), Ranitha Weerarathna (14259139), Sachindra Nambugoda (14259154)   +5 more
core   +1 more source

AVE scores of latent variables.

, 2022
AVE scores of latent variables.
Piyumi Jayasekara (14259148), Nilmini Rathnayake (14259142), Inuri Yasara (14259145), Dewni Ruwanpura (14259151), Ranitha Weerarathna (14259139), Sachindra Nambugoda (14259154)   +5 more
core   +1 more source

Latent class instrumental variables and the monotonicity assumption

Emerging Themes in Epidemiology, 2020
A key aspect of the article by Lousdal on instrumental variables was a discussion of the monotonicity assumption. However, there was no mention of the history of the development of this assumption.
Stuart G. Baker
doaj   +1 more source

Tutorial on the Use of the regsem Package in R

Psych, 2021
Sparse estimation through regularization is gaining popularity in psychological research. Such techniques penalize the complexity of the model and could perform variable/path selection in an automatic way, and thus are particularly useful in models that ...
Xiaobei Li, Ross Jacobucci, Brooke A. Ammerman   +2 more
doaj   +1 more source