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mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
(Journal Statistical SoftwareLos AngelesEUA, 2013)
An extended mixture model for the simultaneous treatment of small-scale and large-scale interfaces
(Wiley, 2014-03)
The aim of this work is to present a new model based on the volume of fluid method and the algebraic slip mixture model in order to solve multiphase gas?fluid flows with different interface scales and the transition among ...
Efficient bayesian methods for mixture models with genetic applications
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-12-14)
We propose Bayesian methods for selecting and estimating di erent types of mixture models which are widely used in Genetics and Molecular Biology. We speci cally propose data-driven selection and estimation methods for a ...
Bayesian mixture of parametric and nonparametric density estimation: A Misspecification Problem
(Sociedade Brasileira de Econometria, 2011)
Color order systems, color mixtures, and the role of cesia
(John Wiley & Sons Inc., 2021-12)
Two questions are mainly discussed in this article: (a) how the shape of color order systems is related to different types of chromatic mixtures, and (b) how the opacity or transparency (an aspect of cesia) of the coloring ...
On the determination of epsilon during discriminative GMM training
(2010-12-01)
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...
Robust streamflow forecasting: a Student's t-mixture vector autoregressive model
(SPRINGER, 2022)
Accurate streamflow forecasting is one of the main challenges in the management of reservoirs, where autoregressive models have been commonly used. Typically, the noise of these models is considered Gaussian. However, this ...
Robust Mixture Regression Modeling Based On Scale Mixtures Of Skew-normal Distributions
(Springer New York LLC, 2016)
Bayesian estimation of dynamic mixture models by wavelets
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2023-04-20)
Gaussian mixture models are used successfully in various statistical learning applications. The good results provided by these models encourage several generalizations of them. Among possible adaptations, one can assume a ...