A central limit theorem for the Hellinger loss of Grenander‐type estimators
From MaRDI portal
Publication:6187975
DOI10.1111/stan.12153arXiv1612.06647MaRDI QIDQ6187975
Publication date: 16 January 2024
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1612.06647
Parametric inference (62Fxx) Nonparametric inference (62Gxx) Statistical distribution theory (62Exx)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On distribution-free goodness-of-fit testing of exponentiality
- Global rates of convergence of the MLEs of log-concave and \(s\)-concave densities
- Global rates of convergence in log-concave density estimation
- Nonparametric estimation of multivariate convex-transformed densities
- The limit distribution of the \(L_{\infty}\)-error of Grenander-type estimators
- Rates of convergence for minimum contrast estimators
- Asymptotic normality of the \(L_1\) error of the Grenander estimator
- Sharp asymptotics for isotonic regression
- Estimating a monotone density from censored observations
- Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
- Weak convergence and empirical processes. With applications to statistics
- On estimating a density using Hellinger distance and some other strange facts
- Asymptotic normality of the \(L_k\)-error of the Grenander estimator
- Convergence of estimates under dimensionality restrictions
- On the \(\mathbb L_p\)-error of monotonicity constrained estimators
- Shape Constrained Non-parametric Estimators of the Baseline Distribution in Cox Proportional Hazards Model
- On the Estimation of Parameters Restricted by Inequalities
- Testing exponentiality by comparing the empirical distribution function of the normalized spacings with that of the original data
- Testing exponentiality based on characterizations of the exponential distribution
- Maximum Likelihood Estimation for Distributions with Monotone Failure Rate
- Estimation for Distributions with Monotone Failure Rate
- On the Weak Convergence of Probability Measures
This page was built for publication: A central limit theorem for the Hellinger loss of Grenander‐type estimators
