Maximal spacings in several dimensions
From MaRDI portal
Publication:580812
DOI10.1214/aop/1176992269zbMath0626.60017OpenAlexW2087767591MaRDI QIDQ580812
Publication date: 1987
Published in: The Annals of Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aop/1176992269
Asymptotic distribution theory in statistics (62E20) Geometric probability and stochastic geometry (60D05) Central limit and other weak theorems (60F05) Strong limit theorems (60F15)
Related Items (32)
Resistant estimates for high dimensional and functional data based on random projections ⋮ Testing multivariate uniformity: The distance‐to‐boundary method ⋮ Probabilistic models in cluster analysis ⋮ The almost sure behavior of maximal and minimal multivariate \(k_ n\)- spacings ⋮ On boundary estimation ⋮ Spatial distribution of invasive species: an extent of occurrence approach ⋮ A plug-in approach to support estimation ⋮ Functional index coefficient models with variable selection ⋮ Variable selection of the quantile varying coefficient regression models ⋮ Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models ⋮ A fully data-driven method for estimating the shape of a point cloud ⋮ A generalization of the maximal-spacings in several dimensions and a convexity test ⋮ Статистические критерии равномерности распределения и независимости векторов, использующие попарные расстояния;Statistical tests for uniformity of distribution and independence of vectors based on pairwise distances ⋮ Random Euclidean coverage from within ⋮ Asymptotic distributions of covering and separation measures on the hypersphere ⋮ Moderate deviations inequalities for Gaussian process regression ⋮ Adaptive estimation of convex polytopes and convex sets from noisy data ⋮ Uniform convergence rates for the approximated halfspace and projection depth ⋮ Parametric component detection and variable selection in varying-coefficient partially linear models ⋮ Robust variable selection for the varying coefficient model based on compositeL1–L2regression ⋮ On Poincaré cone property ⋮ Multivariate goodness-of-fit on flat and curved spaces via nearest neighbor distances ⋮ Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences ⋮ Variable selection for varying coefficient models via kernel based regularized rank regression ⋮ On the Hausdorff dimension of exceptional random sets generated by multivariate spacings ⋮ On the consistency of the spacings test for multivariate uniformity, including on manifolds ⋮ Walsh-average based variable selection for varying coefficient models ⋮ A multivariate uniformity test for the case of unknown support ⋮ Convergence rate for the \(\lambda \)-medial-axis estimation under regularity conditions ⋮ Robust check loss-based inference of semiparametric models and its application in environmental data ⋮ Testing uniformity for the case of a planar unknown support ⋮ Semiparametric inferences for panel data models with fixed effects via nearest neighbor difference transformation
This page was built for publication: Maximal spacings in several dimensions
