Estimation of a discrete monotone distribution
From MaRDI portal
Publication:1952038
DOI10.1214/09-EJS526zbMath1326.62038arXiv0910.3221WikidataQ40151448 ScholiaQ40151448MaRDI QIDQ1952038
Jon A. Wellner, Hanna K. Jankowski
Publication date: 27 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0910.3221
rate of convergencerearrangementmaximum likelihoodGrenander estimatorlimit distributionsnonparametric estimationshape restrictionmonotone mass function
Asymptotic properties of parametric estimators (62F12) Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Order statistics; empirical distribution functions (62G30) Admissibility in statistical decision theory (62C15)
Related Items
Least-squares estimation of a convex discrete distribution, Modelling of count data using nonparametric mixtures, Testing convexity of a discrete distribution, Testing \(k\)-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population, Completely monotone distributions: mixing, approximation and estimation of number of species, Behaviour of the monotone single index model under repeated measurements, Bell-shaped sequences, Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain, The asymptotic distribution of the isotonic regression estimator over a general countable pre-ordered set, Limit properties of the monotone rearrangement for density and regression function estimation, Limit theory in monotone function estimation, Unnamed Item, Convergence of linear functionals of the Grenander estimator under misspecification, Limit distribution theory for block estimators in multiple isotonic regression, Multiple monotonicity of discrete distributions: the case of the Poisson model, Least squares estimation of a completely monotone pmf: from analysis to statistics, Discrete minimax estimation with trees
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A simple nonparametric estimator of a strictly monotone regression function
- Estimating a density under order restrictions: Nonasymptotic minimax risk
- The Bohnenblust-Spitzer algorithm and its applications
- On the distance between the empirical process and its concave majorant in a monotone regression framework. (Sur la distance entre le processus empirique et son majorant concave dans un modèle de régression monotone)
- On the Grenander estimator at zero
- Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times
- Improving point and interval estimators of monotone functions by rearrangement
- Uniform Central Limit Theorems
- Estimation de densités unimodales
- On discrete α‐unimodal distributions
- Asymptotic behavior of the grenander estimator at density flat regions
- A comparative study of monotone nonparametric kernel estimates