Efficient estimation of functionals in nonparametric boundary models

DOI10.3150/15-BEJ768zbMath1380.62177arXiv1407.4229MaRDI QIDQ520687

Leonie Selk, Markus Reiss

Publication date: 5 April 2017

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1407.4229

zbMATH Keywords

completenessPoisson point processsupport estimationsufficiencyshape constraintfrontier estimationnonparametric MLEmonotone boundaryoptional stoppingUMVU

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (5)

Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery ⋮ On lower bounds for the bias-variance trade-off ⋮ Estimation and hypotheses testing in boundary regression models ⋮ Posterior contraction rates for support boundary recovery ⋮ Functional estimation and hypothesis testing in nonparametric boundary models

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