Přístupnostní navigace
E-application
Search Search Close
Publication result detail
KONEČNÁ, K.
Original Title
Statistical properties of the local linear estimator of conditional density
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This contribution focuses on the kernel conditional density estimations. % which provides a very comprehensive information about the analyzed data set. There are two basic estimators - the Nadaraya-Watson and the local linear estimator, we deal with the statistical properties of the second one. Derived characteristics of bias and variance of the estimator are compared with the results of the other authors via simulation study. The simulation study proved better statistical properties of the suggested characteristics. Additionally, the optimal values of smoothing parameters are derived by minimizing of Asymptotic Mean Integrated Squared Error. A data-driven method for practical estimation of the smoothing parameters is suggested - the derivation of formulas for the cross-validation method is extended from the Nadaraya-Watson to the local linear estimator.
English abstract
Keywords
kernel smoothing; conditional density; local linear estimator; statistical properties; bandwidths; cross-validation method
Key words in English
Authors
RIV year
2018
Released
15.06.2017
Location
Brno
ISBN
978-80-7231-417-1
Book
Matematika, informační technologie a aplikované vědy, MITAV 2017
Pages from
1
Pages to
7
Pages count
BibTex
@inproceedings{BUT137455, author="Kateřina {Pokorová}", title="Statistical properties of the local linear estimator of conditional density", booktitle="Matematika, informační technologie a aplikované vědy, MITAV 2017", year="2017", pages="1--7", address="Brno", isbn="978-80-7231-417-1" }