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Latent variable model

Known as: Latent trait, Latent-variable model 
A latent variable model is a statistical model that relates a set of variables (so-called manifest variables) to a set of latent variables. It is… 
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Papers overview

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2012
2012
We describe a latent variable model for supervised dimensionality reduction and distance metric learning. The model discovers… 
Review
2011
Review
2011
This study proposes a method using the mixture Rasch model to set performance standards. The mixture Rasch model classifies… 
2009
2009
Estimation of distribution algorithms are evolutionary algorithms using probabilistic techniques instead of traditional genetic… 
Review
2007
Review
2007
Purpose: through the application of a Rasch rating scale model, the researchers investigated the effect of gender, ethnicity… 
Review
2007
Review
2007
This paper introduces multilevel extensions for the general diagnostic model (GDM) following recent developments on extensions of… 
2001
2001
This paper presents a nonlinear Bayesian model for covariates in a survival model with a surviving fraction. The work is a… 
Highly Cited
1985
Highly Cited
1985
Despite substantial interest in the determination of quality, there has been little empirical work in the area. The problem, of… 
Highly Cited
1983
Highly Cited
1983
The two-parameter graded response latent trait model was applied to data collected from a conven tionally constructed Likert-type… 
1980
1980
Abstract : Modern test theory is oriented toward measuring individual performances, regardless of the group or the population… 
1971
1971