Zobrazeno 1 - 10
of 8 608
pro vyhledávání: '"MODELS WITH LATENT VARIABLES"'
Discovering the causal relationship via recovering the directed acyclic graph (DAG) structure from the observed data is a well-known challenging combinatorial problem. When there are latent variables, the problem becomes even more difficult. In this
Externí odkaz:
http://arxiv.org/abs/2311.00674
Publikováno v:
Statistical Science, 2021 Aug 01. 36(3), 379-399.
Externí odkaz:
https://www.jstor.org/stable/27286450
Akademický článek
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The likelihood ratio test (LRT) is widely used for comparing the relative fit of nested latent variable models. Following Wilks' theorem, the LRT is conducted by comparing the LRT statistic with its asymptotic distribution under the restricted model,
Externí odkaz:
http://arxiv.org/abs/2008.03971
Fitting a graphical model to a collection of random variables given sample observations is a challenging task if the observed variables are influenced by latent variables, which can induce significant confounding statistical dependencies among the ob
Externí odkaz:
http://arxiv.org/abs/2010.09386
Autor:
Olsen, Niels Lundtorp
Maximum-likelihood estimation (MLE) is arguably the most important tool for statisticians, and many methods have been developed to find the MLE. We present a new inequality involving posterior distributions of a latent variable that holds under very
Externí odkaz:
http://arxiv.org/abs/1912.04011
Publikováno v:
Phys. Rev. E 100, 022219 (2019)
In spatially extended systems, it is common to find latent variables that are hard, or even impossible, to measure with acceptable precision, but are crucially important for the proper description of the dynamics. This substantially complicates const
Externí odkaz:
http://arxiv.org/abs/1904.04314
Gibbs sampling is a widely popular Markov chain Monte Carlo algorithm that can be used to analyze intractable posterior distributions associated with Bayesian hierarchical models. There are two standard versions of the Gibbs sampler: The systematic s
Externí odkaz:
http://arxiv.org/abs/1808.09047
Akademický článek
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Autor:
Soto, Gisselle, Lucero, Pablo, Escandón, Samuel, Cabrera, Diego, Cerrada, Mariela, Sánchez, René-Vinicio, Andrade, Susana
Publikováno v:
Archivos Latinoamericanos de Nutrición; 2023 Supplement 2, Vol. 73, p151-161, 11p