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Distributionally robust optimization using optimal transport for Gaussian mixture models
Distributionally robust optimization (DRO) is an increasingly popular approach for optimization under uncertainty when the probability distribution...
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Further exploration of the effects of time-varying covariate in growth mixture models with nonlinear trajectories
Growth mixture modeling (GMM) is an analytical tool for identifying multiple unobserved sub-populations in longitudinal processes. In particular, it...
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Stationary Mixture BGK Models with the Correct Fick Coefficients
Unlike the single species gases, the transport coefficients such as Fick, Soret, Dufour coefficients arise in the hydrodynamic limit of multi-species...
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On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model
Latent class and finite mixture stochastic frontier models have been proposed as a means of allowing either for technological heterogeneity or more...
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Novel pruning and truncating of the mixture of vine copula clustering models
The mixture of the vine copula densities allows selecting the vine structure, the most appropriate type of parametric marginal distributions, and the...
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Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models
Matrix-variate data analysis has increasingly attracted interest in the statistical literature over the recent years, especially in the model-based...
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Bayesian multi-species N-mixture models for unmarked animal communities
We propose an extension of the N-mixture model that enables the estimation of abundances of multiple species as well as the correlations between...
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Estimating the Amount of Sparsity in Two-Point Mixture Models
We consider the problem of estimating the fraction of nonzero means in a sparse normal mixture model in the region where variable selection is...
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Using the Unsupervised Mixture of Gaussian Models for Multispectral Non-destructive Evaluation of the Replica of Botticelli’s “The Birth of Venus”
With increasing attention paid to the protection of cultural relics, non-destructive testing (NDT) technologies are thought to be profoundly...
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A note on maximum likelihood estimation for mixture models
Practitioners as well as some statistics students often blindly use standard software or algorithms to get maximum likelihood estimator (MLE) without...
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Bayesian N-Mixture Models Applied to Estimating Insect Abundance
Estimating animal abundance is an area of interest for many conservationists and population ecologists. When using count data to obtain abundance...
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MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models
Imputing missing data is still a challenge for mixed datasets containing variables of different nature such as continuous, count, ordinal,...
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Semiparametric modelling of two-component mixtures with stochastic dominance
In this work, we studied a two-component mixture model with stochastic dominance constraint, a model arising naturally from many genetic studies. To...
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The estimation of long and short term survival time and associated factors of HIV patients using mixture cure rate models
BackgroundHIV is one of the deadliest epidemics and one of the most critical global public health issues. Some are susceptible to die among people...
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Density-adaptive registration of pointclouds based on Dirichlet Process Gaussian Mixture Models
We propose an algorithm for rigid registration of pre- and intra-operative patient anatomy, represented as pointclouds, during minimally invasive...
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Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors
In finite mixture of regression models, normal assumption for the errors of each regression component is typically adopted. Though this common...
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A two-component nonparametric mixture model with stochastic dominance
In this paper, we introduced a new two-component nonparametric mixture model with a stochastic dominance constraint, a model arising naturally from...
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Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)
The article explores advanced image processing techniques for pigment discrimination in rock art paintings, emphasizing color separation using RGB...
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Preference of Prior for Two-Component Mixture of Lomax Distribution
Recently, El-Sherpieny et al ., (2020), suggested Type-II hybrid censoring method for parametric estimation of Lomax distribution (LD) without due...
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Consensus clustering for Bayesian mixture models
BackgroundCluster analysis is an integral part of precision medicine and systems biology, used to define groups of patients or biomolecules....
