๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Asymptotic behaviour of the mean integrated squared error of kernel density estimators for dependent observations

โœ Scribed by J. Meloche


Book ID
115056970
Publisher
John Wiley and Sons
Year
1990
Tongue
French
Weight
298 KB
Volume
18
Category
Article
ISSN
0319-5724

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


On the asymptotic mean integrated square
โœ Jan Mielniczuk ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 357 KB

Hall and Hart (1990) proved that the mean integrated squared error (MISE) of a marginal kernel density estimator from an infinite moving average process X1, )(2 .... may be decomposed into the sum of MISE of the same kernel estimator for a random sample of the same size and a term proportional to th

On the asymptotic behaviour of the integ
โœ Carlos Tenreiro ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 131 KB

In this paper, we consider the integrated square error Jn = { f n (x) -f(x)} 2 d x; where f is the common density function of the independent and identically distributed random vectors X1; : : : ; Xn and f n is the kernel estimator with a data-dependent bandwidth. Using the approach introduced by Ha

On the expansion of the mean integrated
โœ Bert van Es ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 104 KB

We give a new proof of the mean integrated squared error expansion for non smooth densities of Van Eeden. The proof exploits the Fourier representation of the mean integrated squared error.