Non-parametric log-concave mixtures

DOI10.1016/j.csda.2006.08.027zbMath1445.62070OpenAlexW2045001417MaRDI QIDQ1020222

M. W. Borgdorff, Paul H. C. Eilers

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://dspace.library.uu.nl/handle/1874/21448

zbMATH Keywords

smoothingpenalized likelihoodfinite mixtures

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (7)

Assessing log-concavity of multivariate densities ⋮ Inference and modeling with log-concave distributions ⋮ On a bounded bimodal two-sided distribution fitted to the Old-Faithful geyser data ⋮ Recent progress in log-concave density estimation ⋮ Clustering with mixtures of log-concave distributions ⋮ Editorial: Advances in mixture models ⋮ Univariate log-concave density estimation with symmetry or modal constraints

Cites Work

• A penalty function approach to smoothing large sparse contingency tables
• Smoothing methods in statistics
• A Look at Some Data on the Old Faithful Geyser
• Detecting the Presence of Mixing with Multiscale Maximum Likelihood
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