✦ LIBER ✦

Asymptotic estimate of probability of misclassification for discriminant rules based on density estimates

✍ Scribed by Kamal C. Chanda; F.H. Ruymgaart

Publisher: Elsevier Science
Year: 1989
Tongue: English
Weight: 554 KB
Volume: 8
Category: Article
ISSN: 0167-7152
DOI: 10.1016/0167-7152(89)90088-6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Asymptotic expansions of the probabiliti

Asymptotic expansions of the probabilities of misclassification for k-NN discriminant rules

✍ Kamal C. Chanda 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 615 KB

Asymptotic normality of some kernel-type

Asymptotic normality of some kernel-type estimators of probability density

✍ Richard C. Bradley 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 344 KB

Asymptotic confidence bands for densitie

Asymptotic confidence bands for densities based on nearest neighbor estimators under censoring

✍ Jan Mielniczuk 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 193 KB

Strong uniform consistency of kernel pro

Strong uniform consistency of kernel probability density estimators based on sample moments

✍ B. Abdous 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 408 KB

Asymptotics for Lp-norms of kernel estim

Asymptotics for Lp-norms of kernel estimators of densities

✍ Miklós Csörgo&#x030B;; Lajos Horváth 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 605 KB

Estimation of the Asymptotic Variance of

Estimation of the Asymptotic Variance of Kernel Density Estimators for Continuous Time Processes

✍ Armelle Guillou; Florence Merlevède 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 196 KB

In order to construct confidence sets for a marginal density f of a strictly stationary continuous time process observed over the time interval [0, T ], it is necessary to have at one's disposal a Central Limit Theorem for the kernel density estimator f T . In this paper we address the question of n