The Latent Class Model for binary indicators
A latent class model for bivariate binary responses from twins
... a latent class model, formulated as a 2x2 table and parametrized by two marginal univariate genetic dispositions and the dependence ratio between these ...final model, selected after some ...
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A latent class model for competing risks
... generic model, that builds upon the random effects and latent class approaches, from which relative frailties, covariate associations, and base hazard rates for each latent class and ...
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A geoadditive Bayesian latent variable model for Poisson indicators
... observable indicators and the latent variables are modelled in simple linear parametric form, see Skrondal and Rabe-Hesketh (2004) for a recent comprehensive ...MIMIC model of J¨oreskog and ...
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A penalized latent class model for ordinal data
... and binary data types requires a methodology that can handle mixed ...of latent class ...1956), latent class modeling has been successfully used for classification in the presence of ...
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Latent class model with application to speaker diarization
... a latent class model (LCM) to the task of speaker ...generative model, LCM provides a framework allowing both generative and discriminative ...Markov model to avoid frequent speaker ...
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Minimum ϕ-Divergence Estimation in Constrained Latent Class Models for Binary Data
... The main purpose of this paper is to introduce and study the behavior of minimum φ-divergence estimators as an alternative to the maximum likelihood estimator in latent class models for binary items. ...
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Learning Probabilistic Paradigms for Morphology in a Latent Class Model
... a model of morphology where each word is the concatenation of a stem and a sin- gle suffix representing all of the word's morpho- logical and POS ...basic model, and we consider it nec- essary to address ...
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Identification of segments of European banks with a latent class frontier model
... that latent frontier models describe the European banking system fairly well, when allowing for heterogeneity and defining segments in the ...the model cannot identify more than three segments, but more ...
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A nonparametric multidimensional latent class IRT model in a Bayesian framework
... (IRT) model for dichotomously-scored items, which is based on the assumption that respondents are grouped into k latent classes of ability, and found the number of dimensions, s, and clusters of items ...
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A Comparison of Statistics for Assessing Model Invariance in Latent Class Analysis
... of latent class prevalences will too frequently be rejected incorrectly in the unequal known group sample size case, with the exception of aBIC and ...more latent classes are present in the ...
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Identification of Segments of Thermo Energy Plants with a Latent Class Model
... different model for each class ...J-1 class model is nested with the J class model imposing θ j = θ j-1 , based on likelihood ratio tests, as well as the SBIC and ...The ...
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Efficiency Measurement Using a Latent Class Stochastic Frontier Model
... a model with four classes is ...four- class model. The estimated class probabilities for the highest probability classes and the main features of banks in each class are summarized in ...
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Identification of Segments of European Banks with a Latent Class Frontier Model
... that latent frontier models describe the European banking system fairly well, when allowing for heterogeneity and defining segments in the ...the model cannot identify more than three segments, but more ...
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A Development of The 3PL MMM-IRT Model for Identifying Latent Class
... student’s latent abilities may be similar to those of another in a different school, it may as well vary from one to another despite their being in the same ...the Latent Class Model (LCM), a ...
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Latent Class Analysis and Latent Profile Analysis
... the class solutions takes place by appraising when the class solutions have the lowest BIC, SSABIC, AIC, and CAIC ...a model improves significantly from the model with k – 1 classes, where k ...
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A latent class model of residential choice behaviour and ethnic segregation preferences
... LCCM model with three latent classes, ...each latent class, where the probability of a given respondent falling into a given class is a function of his/her ...social class ...
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A joint latent class model for classifying severely hemorrhaging trauma patients
... regression model, accompanied by an inverse probability censoring weighting (IPCW) ...regression model we introduce a binary latent variable for severe hemorrhage (SH) that classifies severely ...
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A Latent Class Model for Discrete Choice Analysis: Contrasts with Mixed Logit
... pay indicators and elasticities is very ...three latent classes for LCM although the variation is surprisingly similar to the profile for MLM for 2 lanes with mean values higher and lower than the mean for ...
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Protesting or Justifying? A Latent Class Model for Contingent Valuation with Attitudinal Data
... in indicators related to development, such as income, growth rates, and income inequality, as well as with respect to institutional indicators, and given the performance of the Portuguese economy in recent ...
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Parameter Identifiability Issues in a Latent Ma- rkov Model for Misclassified Binary Responses
... a latent Markov model for possibly misclassied binary ...the model specication is correct, the sampling interval is frequent enough and simple range restrictions are ...
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