Re-Weighted Nadaraya-Watson Estimation of Conditional Density
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@Article{AAM-33-63,
author = {Wang , Yi and Xiong , Xianzhu},
title = {Re-Weighted Nadaraya-Watson Estimation of Conditional Density},
journal = {Annals of Applied Mathematics},
year = {2022},
volume = {33},
number = {1},
pages = {63--76},
abstract = {
In order to avoid the discussion of equation (1.1), this paper employs the proof method of Liang (2012) to consider the re-weighted Nadaraya-Watson estimation of conditional density. The established results generalize those of De Gooijer and Zerom (2003). In addition, this paper improves the bandwidth condition of Liang (2012).
}, issn = {}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/aam/20595.html} }
TY - JOUR
T1 - Re-Weighted Nadaraya-Watson Estimation of Conditional Density
AU - Wang , Yi
AU - Xiong , Xianzhu
JO - Annals of Applied Mathematics
VL - 1
SP - 63
EP - 76
PY - 2022
DA - 2022/06
SN - 33
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/aam/20595.html
KW - re-weighted Nadaraya-Watson estimation, conditional density,
bandwidth condition.
AB -
In order to avoid the discussion of equation (1.1), this paper employs the proof method of Liang (2012) to consider the re-weighted Nadaraya-Watson estimation of conditional density. The established results generalize those of De Gooijer and Zerom (2003). In addition, this paper improves the bandwidth condition of Liang (2012).
Yi Wang & Xianzhu Xiong. (2022). Re-Weighted Nadaraya-Watson Estimation of Conditional Density.
Annals of Applied Mathematics. 33 (1).
63-76.
doi:
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