Multiscale maximum likelihood analysis of a semiparametric model, with applications.

DOI10.1214/aos/1013203455zbMath1043.62043OpenAlexW1586045207MaRDI QIDQ1848906

Guenther Walther

Publication date: 14 November 2002

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1013203455

zbMATH Keywords

Grenander estimatorpenalized maximum likelihoodlog-concaveadaptive minimax

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items

Quasi-concave density estimation ⋮ Inference and modeling with log-concave distributions ⋮ Some developments in the theory of shape constrained inference ⋮ Multiscale inference about a density ⋮ A statistical test for mixture detection with application to component identification in multidimensional biomolecular NMR studies ⋮ Inference for mixtures of symmetric distributions ⋮ Clustering with mixtures of log-concave distributions ⋮ Multivariate mode hunting: Data analytic tools with measures of significance

Uses Software

• SiZer

Cites Work

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