Robust inference for parsimonious model-based clustering
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2018.1554659
Abstract: ABSTRACT We introduce a robust clustering procedure for parsimonious model-based clustering. The classical mclust framework is robustified through impartial trimming and eigenvalue-ratio constraints (the tclust framework, which is robust but not affine invariant). An advantage… read more here.
Keywords: model based; parsimonious model; robust inference; model ... See more keywords
Parsimonious Model Averaging With a Diverging Number of Parameters
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2019.1604363
Abstract: Abstract Model averaging generally provides better predictions than model selection, but the existing model averaging methods cannot lead to parsimonious models. Parsimony is an especially important property when the number of parameters is large. To… read more here.
Keywords: parsimonious model; model averaging; averaging diverging; model ... See more keywords