Testing monotonicity via local least concave majorants

DOI10.3150/12-BEJ496zbMath1400.62090arXiv1403.1699MaRDI QIDQ2448702

Nathalie Akakpo, Fadoua Balabdaoui, Cécile Durot

Publication date: 5 May 2014

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1403.1699

zbMATH Keywords

white noiseGaussian regressionleast concave majorants

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (9)

Testing un-separated hypotheses by estimating a distance ⋮ On some aspects of the asymptotic properties of Bayesian approaches in nonparametric and semiparametric models ⋮ Testing \(k\)-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population ⋮ Testing nonparametric shape restrictions ⋮ Posterior contraction and testing for multivariate isotonic regression ⋮ Testing monotonicity via local least concave majorants ⋮ Limit theory in monotone function estimation ⋮ Convergence rates for Bayesian estimation and testing in monotone regression ⋮ An F-type test for detecting departure from monotonicity in a functional linear model

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