Confidence regions for level sets
From MaRDI portal
Publication:391882
DOI10.1016/j.jmva.2013.07.017zbMath1280.62056OpenAlexW1996409688MaRDI QIDQ391882
Publication date: 13 January 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2013.07.017
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)
Related Items
Solution manifold and its statistical applications, Cube root weak convergence of empirical estimators of a density level set, A data-adaptive method for estimating density level sets under shape conditions, Confidence Regions for Spatial Excursion Sets From Repeated Random Field Observations, With an Application to Climate, Confidence regions for bivariate probability density functions using polygonal areas, Posterior contraction and credible sets for filaments of regression functions, Depth level set estimation and associated risk measures, Moving Up the Cluster Tree with the Gradient Flow, Optimal subgroup selection, Asymptotics of lower dimensional zero-density regions, Nonparametric estimation of surface integrals on level sets, Nonparametric inference via bootstrapping the debiased estimator, Nonparametric estimation of directional highest density regions, Asymptotic confidence sets for the jump curve in bivariate regression problems, Asymptotics and optimal bandwidth for nonparametric estimation of density level sets, Asymptotic confidence regions for density ridges, Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions, Posterior contraction and credible regions for level sets, A comparative simulation study of data-driven methods for estimating density level sets, Tree based credible set estimation, Generalized cluster trees and singular measures, The hazard level set
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimal rates for plug-in estimators of density level sets
- Probability inequalities for empirical processes and a law of the iterated logarithm
- Exact rates in density support estimation
- Nonparametric density estimation and clustering in astronomical sky surveys
- Asymptotics and optimal bandwidth selection for highest density region estimation
- Fast learning rates for plug-in classifiers
- Bootstrap methods: another look at the jackknife
- Comparing nonparametric versus parametric regression fits
- Local invariance principles and their application to density estimation
- On nonparametric estimation of density level sets
- Granulometric smoothing
- A plug-in approach to support estimation
- Total error in a plug-in estimator of level sets.
- Smooth discrimination analysis
- Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample
- Bandwidth choice for nonparametric classification
- Strong approximation of density estimators from weakly dependent observations by density estimators from independent observations
- Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
- Measuring mass concentrations and estimating density contour clusters -- An excess mass approach
- Asymptotic normality of plug-in level set estimates
- Kernel estimation of density level sets
- Uniform in bandwidth consistency of kernel-type function estimators
- Set estimation and nonparametric detection
- Intersection Bounds: Estimation and Inference
- Confidence Regions for Means of Random Sets Using Oriented Distance Functions
- PLUG-IN ESTIMATION OF GENERAL LEVEL SETS
- Bootstrap Inference in Partially Identified Models Defined by Moment Inequalities: Coverage of the Identified Set
- Smoothing of Multivariate Data
- A Limit Theorem for Solutions of Inequalities
- Nonparametric Estimation of Regression Level Sets
- Estimating the number of clusters
- Regression Level Set Estimation Via Cost-Sensitive Classification
- Highest Density Difference Region Estimation with Application to Flow Cytometric Data
- Random Fields and Geometry
- Stability of Density-Based Clustering
- Estimation and Confidence Regions for Parameter Sets in Econometric Models
- Rates of Convergence for a Bayesian Level Set Estimation
- Convergence rates in nonparametric estimation of level sets