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stat.ME2023
Exploring the likelihood surface in multivariate Gaussian mixtures using Hamiltonian Monte Carlo
Francesca Azzolini, Hans Skaug
Multimodality of the likelihood in Gaussian mixtures is a well-known problem. The choice of the initial parameter vector for the numerical optimizer may affect whether the optimize…
stat.ME2020★ 3 cited
An information criterion for automatic gradient tree boosting
Berent Ånund Strømnes Lunde, Tore Selland Kleppe, Hans Julius Skaug
An information theoretic approach to learning the complexity of classification and regression trees and the number of trees in gradient tree boosting is proposed. The optimism (tes…