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Estimation of latent variable models for ordinal data via fully exponential Laplace approximation
GLLVM Bartholomew response pattern parameters latent variable models Laplace
2011/6/17
Latent variable models represent a useful tool in the social sciences where the analyzed
constructs cannot be directly observed and, hence, they are not measurable. However, a set
of indicators rela...
Semiparametric Latent Variable Models for Guided Representation
Variable Models Semiparametric Latent Guided
2011/3/18
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for learning features re...
DE-BIASING WEIGHTED MLE VIA INDIRECT INFERENCE：THE CASE OF GENERALIZED LINEAR LATENT VARIABLE MODELS
factor analysis latent variables M-estimators
2009/2/25
In this paper we study bias-corrections to the weighted MLE (Dupuis and Morgen-
thaler, 2002), a robust estimator simply defined through a weighted score function.
Indeed, although the WMLE is relat...
Learning about a Categorical Latent Variable under Prior Near-Ignorance
Prior near-ignorance latent and manifest variables observational processes vacuous beliefs imprecise probability
2010/4/29
It is well known that complete prior ignorance is not compatible with
learning, at least in a coherent theory of (epistemic) uncertainty. What is less
widely known, is that there is a state similar ...