Filters
Optimum kernels.
Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. Kernel smoothing can be very well applied on the regression model. In the context of kernel<...
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Remarks to optimum kernels and boundary optimum kernels
Kernel smoothers belong to the most popular nonparametric functional estimates used for describing data structure. They can be applied on the fix design of kernel estimatesof a regression function, the choice of a kernel ca...
BB - Aplikovaná statistika, operační výzkum
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Kernel Ridge Regression with Odd Kernels in Financial Time Series Prediction
A new type of kernels called odd kernels is proposed to model dependencies by odd functions. Odd kernels could be simply constructed from the most of traditional kernels. Although usability of odd kernels ...
JC - Počítačový hardware a software
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Kernel choice with respect to the bandwidth in kernel density estimates
We focus on the kernel function choice, especially on kernels with a bounded support. Our aim is to study the optimality of the kernel with respect to the bandwidth choice. A simulation study brings comparison of the ke...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Kernel choosing with respect to the bandwidth in kernel density estimates
Kernel density estimates belong to the most popular nonparametric density controls the smoothness of the estimate, and on a kernel, which plays a role. in Duong & Hazelton (2005), Sain et al. (1994). We focus on the kernel
BB - Aplikovaná statistika, operační výzkum
- 2010 •
- O
Rok uplatnění
O - Ostatní výsledky
Kernel choice in bivariate kernel density derivative estimates
Kernel estimates belong to the most popular nonparametric method of estimating on a bandwidth, which controls the smoothness of the estimate, and on a kernel, which plays a roleof a weighting function. We focus on a kernel ...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Kernel Ridge Regression with Odd Kernels in Financial Time Series Prediction
Kernel ridge regression is applied to the prediction of short-time trends of kernels is proposed to model dependencies by odd functions. Experimental results for both traditional kernels and their odd counterparts are repor...
JC - Počítačový hardware a software
- 2011 •
- O
Rok uplatnění
O - Ostatní výsledky
Convolutions of polynomial kernels
Kernel estimates are an integral part of non-parametric statistics. Convolutions of the kernels can be found in some expressions describing properties of kernel estimates. This paper presents the exact construction of convo...
BB - Aplikovaná statistika, operační výzkum
- 2016 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Some Remarks on Kernels
The aim of this paper is to present constructions of minimum variance kernels and smooth kernels by means of the Legendre polynomials and the Gegenbauer polynomials as well....
BA - Obecná matematika
- 2000 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Kernel Convolutions and their Application
Convolutions can be found in some expressions used in kernel estimates. Knowing the exact shape of the kernel convolutions is useful for faster evaluation of such expressions. This paper presents the exact construction of convolutio...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- O
Rok uplatnění
O - Ostatní výsledky
- 1 - 10 out of 2 050