Uniform in bandwidth consistency of kernel estimators of the density of mixed data

dc.contributor.author	Mason, David M.
dc.contributor.author	Swanepoel, Jan W.H.
dc.date.accessioned	2016-09-02T07:27:24Z
dc.date.available	2016-09-02T07:27:24Z
dc.date.issued	2015
dc.identifier.citation	Mason, D.M. & Swanepoel, J.W.H. 2015. Uniform in bandwidth consistency of kernel estimators of the density of mixed data. Electronic journal of statistics, 9(1):1518-1539. [http://dx.doi.org/10.1214/15-EJS1049]	en_US
dc.identifier.issn	1935-7524 (Online)
dc.identifier.uri	http://hdl.handle.net/10394/18508
dc.identifier.uri	http://dx.doi.org/10.1214/15-EJS1049
dc.identifier.uri	https://projecteuclid.org/download/pdfview_1/euclid.ejs/1437137453
dc.description.abstract	We establish a general uniform in bandwidth consistency result for kernel estimators of the unconditional and conditional joint density of a distribution, which is defined by a mixed discrete and continuous random variable	en_US
dc.language.iso	en	en_US
dc.publisher	Institute of Mathematical Statistics	en_US
dc.subject	Kernel estimators	en_US
dc.subject	uniform in bandwidth	en_US
dc.subject	empirical process methods	en_US
dc.subject	mixed data	en_US
dc.title	Uniform in bandwidth consistency of kernel estimators of the density of mixed data	en_US
dc.type	Article	en_US
dc.contributor.researchID	24082279 - Mason, David Michael
dc.contributor.researchID	10177507 - Swanepoel, Jan Willem Hendrik