Latent Class Models
Latent class models for Echinococcus multilocularis diagnosis in foxes in Switzerland in the absence of a gold standard
... Latent class models were fitted using Markov chain Monte Carlo (MCMC) simulation by employing the free statistical software JAGS version 3.1.0 [43]. For each model, three chains of the Gibbs sampler ...
14
Latent trait and latent class models in survey analysis: Case studies in public perceptions of biotechnology
... measurement models are those in the spirit of a confirmatory factor ...trait models in Chapter ...In latent class models, item parameters can be constrained in order to fit, for ...
298
Using latent class models to explore cross-national typologies of Public engagement with Science and technology in Europe
... national latent class models presented in this paper, the models have been re-estimated applying a two-step weighting procedure available in Latent GOLD and recommended by the authors ...
47
A new formulation for latent class models
... a latent class ...these class probabilities with respect to covariates, but then generally ex post attempt to explain the (now individual-varying) posterior probabilities of class membership ...
33
Estimating the True Accuracy of Diagnostic Tests for Dengue Infection Using Bayesian Latent Class Models
... Methods/Principal Findings: Data from a cohort study of 549 patients suspected of dengue infection presenting at Colombo North Teaching Hospital, Ragama, Sri Lanka, that described the application of our reference assay ...
7
Identifying corruption through latent class models: evidence from transition economies
... other latent classes identified. In the class 3, the data reject the independence hypothesis at 5% level between our firm score variable and that obtained us- ing medium corruption, extracted directly from ...
38
Methods and approaches for evaluating the validity of latent class models with applications
... the latent classes or all of them (Sepulveda et ...the latent variable, for example, an AB interaction term) to the model, but do not indicate when a three-way parameter involving the latent variable ...
142
Hierarchical Latent Class Models for Cluster Analysis
... of latent nodes in S. If there is only one latent node, the proposition is trivially ...n−1 latent nodes where ...one latent node, there must be a latent node X that has 3 or more ...
27
Latent class recapture models with flexible behavioural response
... The class of models proposed is very large and provides extreme flexibility for even the most complex capture-recapture ...used latent class models, which are somehow more flexible than ...
13
Interferon-gamma release assay for the diagnosis of latent tuberculosis infection: a latent-class analysis
... The limitations of our study must be considered. Our results are derived from studies where the estimates of LTBI prevalence vary widely. This is due to the heterogeneity in study settings, populations and methodology of ...
26
Unsupervised Learning with Contrastive Latent Variable Models
... shared latent space. The target latent space is set to two and an IG(10 −3 , 10 −3 ) prior is used for the columns of the shared factor ...sulting latent representation, which is able to discover the ...
8
Posterior Regularization for Structured Latent Variable Models
... graphical models, ...generative models used in practice are very simplistic models of the underlying phenomena; for example, the syntactic structure of lan- guage or the language translation ...such ...
49
Generic Inference in Latent Gaussian Process Models
... Finally, concerning the number of samples (S) and the mini-batch size (B), our expe- rience indicates that the main guiding principle is dictated by computational constraints. In the former case, S helps reduce the ...
63
Deep Latent Generative Models for Energy Disaggregation
... NSTANCE models from Tomkins et ...al.’s models, despite having no careful encoding of domain-specific temporal, contextual, and structural de- pendencies using graphical templates, paving the way for a ...
8
Latent Class Transliteration based on Source Language Origin
... explicit class c to each transliterated pair, we can introduce a random vari- able z and consider a conditioned string substitution probability P (α → ...This latent class z cor- responds to the ...
5
Latent class approaches for modelling multiple ordinal items
... of latent structure analysis and modelling, the contributions in this volume cover a broad range of topics including measuring dissimilarity, clustering, robustness, CUB models, multivariate models, ...
234
Toward an operative diagnosis in sepsis: a latent class approach
... the latent class estimation will be carried out with the statistical software Latent GOLD ...the latent diagnostic classification, provide a unique opportunity to under- stand a relevant ...
9
A Comparison of Latent Variable Models For Conversation Analysis
... 4.2 Identifying Speakers From Utterances In this section, we describe our approach to identi- fying speakers from the text of the utterance. The ATM (as described above) treats all the participants in the conversation as ...
9
Latent Variable Models for Semantic Orientations of Phrases
... Figures 2, 3, 4 show cross-validated accuracy values for various values of β, respectively yielded by the 3-PLSI model, the triangle model and the U-shaped model with different numbers M of pos- sible states for the ...
8
Probabilistic Distributional Semantics with Latent Variable Models
... generative models are modular in the sense that they can be integrated in larger ...Our class-based preference model also suggests an approach to identifying regular polysemy alternation by finding ...
46