Inference for the mode of a log-concave density
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Publication:2328065
DOI10.1214/18-AOS1770zbMath1439.62098arXiv1611.10348MaRDI QIDQ2328065
Charles R. Doss, Jon A. Wellner
Publication date: 9 October 2019
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1611.10348
Applications of statistics to economics (62P20) Density estimation (62G07) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Nonparametric tolerance and confidence regions (62G15)
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Estimation of the global mode of a density: minimaxity, adaptation, and computational complexity, Inference for Local Parameters in Convexity Constrained Models, Recent progress in log-concave density estimation, Nonparametric shape-restricted regression, Concave regression: value-constrained estimation and likelihood ratio-based inference, Limit distribution theory for block estimators in multiple isotonic regression, A Bayesian nonparametric approach to log-concave density estimation, Confidence intervals for multiple isotonic regression and other monotone models, logcondens.mode, Univariate log-concave density estimation with symmetry or modal constraints, Inference for the mode of a log-concave density
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Cites Work
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