✦ LIBER ✦

Proving consistency of non-standard kernel estimators

✍ Scribed by David M. Mason

Book ID: 113079613
Publisher: Springer Netherlands
Year: 2012
Tongue: English
Weight: 330 KB
Volume: 15
Category: Article
ISSN: 1387-0874
DOI: 10.1007/s11203-012-9068-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Distribution-free consistency of kernel

Distribution-free consistency of kernel non-parametric M-estimators

✍ Andrzej S. Kozek; Mirosław Pawlak 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 124 KB

We prove that in the case of independent and identically distributed random vectors (X i ; Y i ) a class of kernel type M-estimators is universally and strongly consistent for conditional M-functionals. The term universal means that the strong consistency holds for all joint probability distribution

Consistency of minimum contrast estimato

Consistency of minimum contrast estimators in non-standard cases

✍ R. -D. Reiss 📂 Article 📅 1978 🏛 Springer 🌐 English ⚖ 582 KB

Consistency of kernel density estimators

Consistency of kernel density estimators for causal processes

✍ Lin, ZhengYan; Zhao, YueXu 📂 Article 📅 2014 🏛 SP Science China Press 🌐 English ⚖ 358 KB

Strong consistency of kernel estimators

Strong consistency of kernel estimators for Markov transition densities

✍ C. C.Y. Dorea 📂 Article 📅 2002 🏛 Springer 🌐 English ⚖ 76 KB

Uniform strong consistency of kernel den

Uniform strong consistency of kernel density estimators under dependence

✍ Tae Yoon Kim; Dennis D. Cox 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 376 KB

Strong consistency of the kernel estimat

Strong consistency of the kernel estimators of conditional density function

✍ Zhao Lincheng; Liu Zhijun 📂 Article 📅 1985 🏛 Institute of Mathematics, Chinese Academy of Scien 🌐 English ⚖ 215 KB