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Potential symmetries and new solutions of a simplified model for reacting mixtures
(Iop Publishing Ltd, 2000-01-21)
In this paper, we investigate potential symmetries of a simplified model for reacting mixtures. We find new similarity reductions and wider class of solutions through this approach. Further, we explore an invertible mapping ...
The full Bayesian significance test for mixture models: results in gene expression clustering
(FUNPEC-EDITORA, 2008)
Gene clustering is a useful exploratory technique to group together genes with similar expression levels under distinct cell cycle phases or distinct conditions. It helps the biologist to identify potentially meaningful ...
Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity
(Annual Conference of the Prognostics and Health Management Society 2017Annual Conference of the Prognostics and Health Management Society 2017, 2017-08-18)
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new ...
A Gompertz mixture approach for modeling the evolution of the COVID-19 dynamics
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2023)
Multivariate mixture modeling using skew-normal independent distributions
(Elsevier Science BvAmsterdamHolanda, 2012)
A semiempirical model for adsorption of binary mixtures
(Royal Society of Chemistry, 2014-11)
The statistical thermodynamics of polyatomic species mixtures adsorbed on two-dimensional lattices was developed based on generalization of the semiempirical approximation for the adsorption of single components [Romá, F. ...
Volumetric Properties of Chloroalkanes plus Amines Mixtures: Theoretical Analysis Using the ERAS-Model
(Springer/plenum PublishersNew YorkEUA, 2009)
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics
(ELSEVIER SCIENCE BV, 2011)
The purpose of this paper is to develop a Bayesian analysis for nonlinear regression models under scale mixtures of skew-normal distributions. This novel class of models provides a useful generalization of the symmetrical ...
Multivariate measurement error models based on scale mixtures of the skew-normal distribution
(TAYLOR & FRANCIS LTD, 2010)
Scale mixtures of the skew-normal (SMSN) distribution is a class of asymmetric thick-tailed distributions that includes the skew-normal (SN) distribution as a special case. The main advantage of these classes of distributions ...