Další formáty:
BibTeX
LaTeX
RIS
@proceedings{1203374, author = {Hasilová, Kamila and Horová, Ivanka and Koláček, Jan}, booktitle = {Applied Stochastic Models and Data Analysis (ASMDA2013)}, language = {eng}, title = {Bandwidth matrix selectors for multivariate kernel density estimation}, year = {2013} }
TY - CONF ID - 1203374 AU - Hasilová, Kamila - Horová, Ivanka - Koláček, Jan PY - 2013 TI - Bandwidth matrix selectors for multivariate kernel density estimation N2 - Multivariate kernel density estimators have become a common tool for empirical studies. These estimators depend on the choice of a crucial parameter -- the bandwidth matrix. In this paper, we propose an extension of the iterative method for finding the bandwidth matrix not only for density estimation but also for estimating its derivatives. This procedure is illustrated by a simulation study and two real data sets. ER -
HASILOVÁ, Kamila, Ivanka HOROVÁ a Jan KOLÁČEK. Bandwidth matrix selectors for multivariate kernel density estimation. In \textit{Applied Stochastic Models and Data Analysis (ASMDA2013)}. 2013.
|