Results 11 to 20 of about 756,305 (328)
Frontiers in Psychology, 2018 This study aimed to examine the psychometric properties and factorial invariance of the Brief Symptom Inventory-18 (BSI-18). Confirmatory factor analyses (CFAs) were performed to verify the BSI-18’s factor structure in a large sample of Chinese insurance
Mingshu Li +12 more
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Frontiers in Psychology, 2019 The Inventory of Callous-Unemotional Traits (ICU) was designed to evaluate multiple facets of Callous-Unemotional (CU) traits in youths. However, no study has examined the factor structure and psychometrical properties of the ICU in Chinese detained ...
Xintong Zhang +11 more
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Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023 Latent variable models can create a latent dementia index (LDI) using cognitive and functional ability to approximate dementia likelihood. The LDI approach has been applied across diverse cohorts.
Joseph Saenz +2 more
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Stated consideration and attribute thresholds in mode choice models: a hierarchical ICLV approach
European Journal of Transport and Infrastructure Research, 2021 Consideration of alternatives, as many other aspects related to the decision-making process, is not observable and challenging to measure. Even when supplementary information is collected during stated choice experiments, its use as an additional ...
Mauro Capurso +2 more
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A geoadditive Bayesian latent variable model for Poisson indicators [PDF]
, 2006 We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of covariates, nonparametric effects of continuous covariates and spatial effects on the continuous latent variables are modelled through a ...
Fahrmeir, Ludwig, Steinert, Sven
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Frontiers in Psychology, 2019 The Youth Psychopathic Traits Inventory (YPI) was designed to assess psychopathic traits in adolescents. However, there exists limited evidence for the factor structure and psychometric properties of the YPI when used with Chinese detained juveniles. The
Wendeng Yang +10 more
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IEEE Access, 2019 Learning to discover hidden variables from unlabeled data is an important task. Traditional generative methods model the generation process of the observed variables as well as the hidden variables.
Wenjuan Han, Ge Wang, Kewei Tu
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Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems. [PDF]
Front Artif IntellNayab M +6 more
europepmc +3 more sources
Latent Variable Model for Multi-modal Translation [PDF]
, 2019 In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model. This latent variable can be seen as a multi-modal stochastic embedding of an image and
Aziz, Wilker +2 more
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Econometrics, 2019 It is customary to assume that an indicator of a latent variable is driven by the latent variable and some random noise. In contrast, a background indicator is also systematically influenced by variables outside the structural model of interest ...
Burkhard Raunig
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