4 papers
Shifted asymmetric Laplace mixtures of experts
Sphiwe B. Skhosana, Hien Duy Nguyen
Mixtures of experts (MoE) models provide a flexible framework for modelling heterogeneity in data for regression and model-based clustering and classification. MoE models for regre…
Robust semi-parametric mixtures of linear experts using the contaminated Gaussian distribution
Peterson Mambondimumwe, Sphiwe B. Skhosana, Najmeh Nakhaei Rad
Semi- and non-parametric mixture of regressions are a very useful flexible class of mixture of regressions in which some or all of the parameters are non-parametric functions of th…
Nonparametric contaminated Gaussian mixture of regressions
Sphiwe B. Skhosana, Weixin Yao
Semi- and non-parametric mixture of regressions are a very useful flexible class of mixture of regressions in which some or all of the parameters are non-parametric functions of th…
Model-based clustering using a new mixture of circular regressions
Sphiwe B. Skhosana, Najmeh Nakhaei Rad
Regression models, where the response variable is circular, are common in areas such as biology, geology and meteorology. A typical model assumes that the conditional distribution…