On convex least squares estimation when the truth is linear
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Publication:5965321
DOI10.1214/15-EJS1098zbMath1332.62056arXiv1411.4626WikidataQ42180293 ScholiaQ42180293MaRDI QIDQ5965321
Publication date: 3 March 2016
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1411.4626
convexityleast squaresdensity estimationadaptive estimationregression function estimationshape constraint
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Nonparametric hypothesis testing (62G10) Gaussian processes (60G15) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)
Related Items
On univariate convex regression, Limit distribution theory for block estimators in multiple isotonic regression, Adaptation in log-concave density estimation, Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
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Cites Work
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