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A dynamic latent variable model for source separation [PDF]
, 2018 We propose a novel latent variable model for learning latent bases for time-varying non-negative data. Our model uses a mixture multinomial as the likelihood function and proposes a Dirichlet distribution with dynamic parameters as a prior, which we call
Ghosh, Prasanta +2 more
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Shanghai archives of psychiatry, 2012 In this chapter, we again consider the problem of selecting attributes to appear in the discrete choice analysis model, but in this case latent variable modeling is used to consider the customer attitude and perception in the choice model more comprehensively than in the previous chapters.
Wei Chen +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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Engineering Reports, 2022 It is known that how individuals perceive the situation result in choices. However, it is unknown, how drivers process the information of vehicle malfunctions based on the situation at hand.
Mahdi Rezapour, Khaled Ksaibati
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Recently, there has been a focus on drawing progress on representation learning to obtain more identifiable and interpretable latent representations for spike trains, which helps analyze neural population activity and understand neural mechanisms.
Yicong Huang, Zhu Liang Yu
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MEASUREMENT MODEL OF BEHAVIORAL INTENTION TO SUBSCRIBE YOUTUBE CHANNEL CONTENT USING UTAUT 2 MODEL [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2019 This study research about measurement model of behavioral intention to subscribe YouTube Channel content named Kidz with SEM-PLS. Kidz is a Youtube Channel content that share videos for kids. The samples of this research were Kidz users aged 7-12 through
Putri M.K.N. +2 more
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Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection [PDF]
, 2012 Chandrasekaran, Parrilo and Willsky (2010) proposed a convex optimization problem to characterize graphical model selection in the presence of unobserved variables.
Ma, Shiqian, Xue, Lingzhou, Zou, Hui
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The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]
, 1990 Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models.
Kelderman, Henk, Macready, George B.
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Latent Variable Modelling: A Survey* [PDF]
Scandinavian Journal of Statistics, 2007 Abstract. Latent variable modelling has gradually become an integral part of mainstream statistics and is currently used for a multitude of applications in different subject areas. Examples of ‘traditional’ latent variable models include latent class models, item–response models, common factor models, structural equation models, mixed or random ...
SKRONDAL, ANDERS, RABE‐HESKETH, SOPHIA
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The Accuracy of Computerized Adaptive Testing in Heterogeneous Populations: A Mixture Item-Response Theory Analysis. [PDF]
PLoS ONE, 2016 Computerized adaptive testing (CAT) utilizes latent variable measurement model parameters that are typically assumed to be equivalently applicable to all people. Biased latent variable scores may be obtained in samples that are heterogeneous with respect
Richard Sawatzky +4 more
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