21 citations · 53 across the 19 of their papers we have counts for
4 papers · 1 filter
Semiparametric robust mixture of experts based on nonparametric maximum likelihood
Sangkon Oh, Victor H. Lachos, Byungtae Seo
The mixture of experts (MoE) model provides a flexible approach for modeling heterogeneous regression relationships by allowing covariate-dependent mixing through a gating network,…
Extensions in Semiparametric Geostatistical Models
Maíra Soalheiro, Marcos Oliveira Prates, Victor Hugo Lachos +1
In spatial statistics, the incorrect selection of an appropriate covariance function may lead to inference errors and confidence underestimation. Motivated by such restrictions, we…
Multiple Heckman Selection Model
Heeju Lim, Carlos A. R. Diniz, Ofer Harel +1
We introduce a novel matrix-variate extension of the Heckman selection model to accommodate multiple outcomes, providing a flexible and natural generalization of classical selectio…
Parametric modal regression for right-censored positive responses
Christian E. Galarza, Víctor H. Lachos
We present a unified parametric framework for modal regression applicable to continuous positive distributions, with explicit support for right-censored observations. The key contr…