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Kernel choice in bivariate kernel density derivative estimates
density derivative estimates. Our aim is to study the optimality of the kernelKernel estimates belong to the most popular nonparametric method of estimating density and its derivatives. ...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Kernel density estimate of the population density the Eurasian beaver in the Czech Republic
Representation of the kernel density estimation based on the predictive model the population development of the Eurasioan beaver......
EH - Ekologie – společenstva
- 2010 •
- Nmap
Rok uplatnění
Nmap - Specializovaná mapa s odborným obsahem
Encyclopedia of Environmetrics : Kernel Density Estimation
Statistical properies of kernel estimates of densities are treated of. The attention is paid to the choice of smothing parametr which controls the smoothness of the estimate....
BB - Aplikovaná statistika, operační výzkum
- 2012 •
- C •
- Link
Rok uplatnění
C - Kapitola v odborné knize
Výsledek na webu
Kernel Bivariate Density Toolbox
The toolbox for the kernel estimation of bivariate density in MATLAB (Kernel Bivariate Density Toolbox) was created. This toolbox contains many matlab scripts useful for kernel estimating...
BA - Obecná matematika
- 2011 •
- R •
- Link
Rok uplatnění
R - Software
Výsledek na webu
Convergence rates of kernel density estimates in particle filtering
Bounds on convergence rates of kernel density estimates in particle filtering are specified. The kernel density estimates are shown to be efficient for the Sobolev class of filtering densities...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Kernel choosing with respect to the bandwidth in kernel density estimates
Kernel density estimates belong to the most popular nonparametric density estimates. It is a known fact, that these estimates depend on a bandwidth, which controls the smoothness of the estima...
BB - Aplikovaná statistika, operační výzkum
- 2010 •
- O
Rok uplatnění
O - Ostatní výsledky
Kernel density estimates used in stochastic precipitation generator
The kernel density estimates were tested to be suitable to describe the probability distribution of daily precipitation sums. For this purpose, a stochastic precipitation generator using the kernel density...
DA - Hydrologie a limnologie
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
Iterative method for kernel density estimates ? small sample properties
Kernel density estimates belong to the class of the nonparametric density estimates. These estimates depend on a bandwidth matrix which affects the amount bandwidth matrix and on the quality of th...
BB - Aplikovaná statistika, operační výzkum
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Convergence rates of kernel density estimates in particle filtering
Bounds on convergence rates of kernel density estimates in particle filtering are specified. The kernel density estimates are shown to be efficient for the Sobolev class of filtering densities...
Statistics and probability
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Kernel Density Gradient Estimate
The aim of this contribution is to develop a method for a bandwidth matrix choice for kernel estimate of the first partial derivatives of the unknown density....
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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