Results 41 to 50 of about 5,459,614 (334)
Which Policies and Factors Drive Electric Vehicle Use in Nepal?
Energies, 2023 Electric vehicles (EVs) offer a viable technological solution for mitigating greenhouse gas emissions in the transportation industry, addressing pressing societal concerns regarding climate change, air pollution, and sustainable energy consumption.
Laxman Prasad Ghimire +2 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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Methodology, 2023 Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
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Clustering Longitudinal Data Using R: A Monte Carlo Study
Methodology, 2022 The analysis of change within subjects over time is an ever more important research topic. Besides modelling the individual trajectories, a related aim is to identify clusters of subjects within these trajectories.
Peter Verboon, Ron Pat-El
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, 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
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Latent Class Analysis and Latent Profile Analysis [PDF]
, 2015 Latent class analysis (LCA) and latent profile analysis (LPA) are powerful techniques that enable researchers to glean insights into “hidden” psychological experiences to create typologies and profiles to provide better-informed community-based policies and practice.
Williams, GA, Kibowski, F
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Assessing Italians' Preferences for Mountain Beef Production Using a Best–Worst Scaling Approach
Mountain Research and Development, 2022 The European Union (EU) regulation on mountain food products represents a great opportunity for beef producers in mountain areas, particularly as the quality-certified food has received more attention from European consumers in recent years. However, for
Mikael Oliveira Linder +4 more
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Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]
, 2005 It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Girolami, M., Rogers, S.
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The Latent Class Twin Method [PDF]
Biometrics, 2016 Summary The twin method refers to the use of data from same-sex identical and fraternal twins to estimate the genetic and environmental contributions to a trait or outcome. The standard twin method is the variance component twin method that estimates heritability, the fraction of variance attributed to additive genetic inheritance.
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Research Techniques Made Simple: Latent Class Analysis.
Journal of Investigative Dermatology, 2020 Latent class analysis (LCA) is a statistical technique that allows for identification, in a population characterized by a set of predefined features, of hidden clusters or classes, that is, subgroups that have a given probability of occurrence and are ...
L. Naldi, S. Cazzaniga
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