1 citations · 1 across the 2 of their papers we have counts for
4 papers
Joint Estimation and Feature Selection in Overspecified Finite Mixture of Regressions
Abbas Khalili, Pengqi Liu, Huy Nguyen +1
We investigate joint estimation and feature selection in sparse finite mixtures of regressions with an overspecified number of mixture components or mixture order. More specificall…
New Hard-thresholding Rules based on Data Splitting in High-dimensional Imbalanced Classification
Arezou Mojiri, Abbas Khalili, Ali Zeinal Hamadani
In binary classification, imbalance refers to situations in which one class is heavily under-represented. This issue is due to either a data collection process or because one class…
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure
Tudor Manole, Abbas Khalili
Estimation of the number of components (or order) of a finite mixture model is a long standing and challenging problem in statistics. We propose the Group-Sort-Fuse (GSF) procedure…
Estimating Sparse Networks with Hubs
Annaliza McGillivray, Abbas Khalili, David A. Stephens
Graphical modelling techniques based on sparse selection have been applied to infer complex networks in many fields, including biology and medicine, engineering, finance, and socia…