On the maximal deviation of k-dimensional density estimates
From MaRDI portal
Publication:1243975
DOI10.1214/aop/1176995945zbMath0369.62028OpenAlexW1976525622MaRDI QIDQ1243975
Publication date: 1976
Published in: The Annals of Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aop/1176995945
Nonparametric estimation (62G05) Large deviations (60F10) Asymptotic properties of parametric tests (62F05)
Related Items
Simultaneous inference of the partially linear model with a multivariate unknown function ⋮ Theoretical analysis of nonparametric filament estimation ⋮ Spline confidence bands for variance functions ⋮ Goodness-of-fit tests based on the empirical characteristic function ⋮ On semiparametric inference for periodically modulated density functions ⋮ Fréchet single index models for object response regression ⋮ Bootstrapping density estimates ⋮ State-domain change point detection for nonlinear time series regression ⋮ Maximal deviation theory of some estimators of prior distribution functions ⋮ Probabilities of maximal deviations for nonparametric regression function estimates ⋮ Confidence regions for images observed under the Radon transform ⋮ Extremes of locally stationary Gaussian and chi fields on manifolds ⋮ Nonparametric density estimation from censored data ⋮ Simultaneous nonparametric inference of time series ⋮ Simultaneous confidence bands for time-series prediction function ⋮ On confidence bands for multivariate nonparametric regression ⋮ Asymptotic confidence regions for density ridges ⋮ Non parametric derivative estimation with confidence bands ⋮ A review of uncertainty quantification for density estimation ⋮ Multivariate goodness-of-fit tests based on kernel density estimators ⋮ Estimation of the failure rate-a survey of nonparametric methods Part I: Non-Bayesian Methods ⋮ On the lrerror in histogram density estimation: The multidimensional case ⋮ A central limit theorem for the integrated square error of the kernel density estimators with randomly censored data ⋮ Weak and strong uniform consistency of kernel regression estimates
This page was built for publication: On the maximal deviation of k-dimensional density estimates
