Varying kernel density estimation on \(\mathbb R_+\)

DOI10.1016/j.spl.2012.03.033zbMath1489.62114OpenAlexW2167758633WikidataQ23920356 ScholiaQ23920356MaRDI QIDQ449397

Khachatur Sarkisian, Robert M. Mnatsakanov

Publication date: 30 August 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2012.03.033

zbMATH Keywords

mean squared errormean integrated squared error\(\delta \)-sequence\(L_{1}\)-consistencyvarying kernel density estimator

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (16)

Estimation in a semiparametric partially linear errors-in-variables model with inverse Gaussian kernel ⋮ Adaptive nonparametric regression on finite support ⋮ Nonparametric density estimation based on beta prime kernel ⋮ Mellin-Meijer kernel density estimation on \(\mathbb{R}^+\) ⋮ Inverse gamma kernel density estimation for nonnegative data ⋮ Asymptotic results in gamma kernel regression ⋮ Local linear smoothers using inverse Gaussian regression ⋮ Data dependent asymmetric kernels for estimating the density function ⋮ Towards a better understanding of the dual representation of phi divergences ⋮ Fitting a \(p\)th order parametric generalized linear autoregressive multiplicative error model ⋮ Asymptotic properties of Dirichlet kernel density estimators ⋮ Local-Likelihood Transformation Kernel Density Estimation for Positive Random Variables ⋮ Local linear regression with reciprocal inverse Gaussian kernel ⋮ Weighted log-normal kernel density estimation ⋮ Nonparametric density estimation based on the scaled Laplace transform inversion ⋮ Large sample results for varying kernel regression estimates

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