Sequential and recursive estimators of the probability density

DOI10.1080/02331888508801856zbMath0574.62080OpenAlexW2072651415WikidataQ126242838 ScholiaQ126242838MaRDI QIDQ3692659

Wolfgang Wertz

Publication date: 1985

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888508801856

zbMATH Keywords

surveykernel estimatorslaw of the iterated logarithmmean square errorstrong consistencyquadratic meanalmost surerecursive density estimatorsequential density estimation

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Sequential estimation (62L12)

Related Items (6)

Kernel estimation of the regression function with random sampling times ⋮ Weighted probability density estimator with updated bandwidths ⋮ Joint behaviour of semirecursive kernel estimators of the location and of the size of the mode of a probability density function ⋮ Nonparametric conditional density estimation for censored data based on a recursive kernel ⋮ On the rate of convergence of recursive kernel estimates of probability densities ⋮ A global stopping rule for recursive density estimators

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