DocumentCode
818360
Title
Nonparametric Estimation of Conditional Distributions
Author
Györfi, László ; Kohler, Michael
Author_Institution
Dept. of Comput. Sci. & Inf. Theor., Budapest Univ. of Technol. & Econ.
Volume
53
Issue
5
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
1872
Lastpage
1879
Abstract
Estimation of conditional distributions is considered. It is assumed that the conditional distribution is either discrete or that it has a density with respect to the Lebesgue measure. Partitioning estimates of the conditional distribution are constructed and results concerning consistency and rate of convergence of the integrated total variation error of the estimates are presented
Keywords
convergence; statistical distributions; Lebesgue measure; conditional distribution; convergence; Automation; Convergence; Density measurement; Error correction; Pattern recognition; Power generation economics; Probability distribution; Random variables; Statistical distributions; Statistical learning; Conditional density; Poisson regression; conditional distribution; confidence sets; partitioning estimate; rate of convergence; universal consistency;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2007.894631
Filename
4167733
Link To Document