PROPERTIES FOR CIRCULAR NONPARAMETRIC REGRESSIONS BY VON MIESE AND WRAPPED CAUCHY KERNELS - Collections

＜journal article＞
PROPERTIES FOR CIRCULAR NONPARAMETRIC REGRESSIONS BY VON MIESE AND WRAPPED CAUCHY KERNELS

Creator	Creator Name Tsuruta, Yasuhito 鶴田, 靖人ツルタ, ヤスヒト Affiliation Affiliation Name Wakayama prefectural office
Creator	Author PID 20215669 Creator Name Sagae, Masahiko 寒河江, 雅彦サガエ, マサヒコ Affiliation Affiliation Name School of Economics, Kanazawa University 金沢大学
Language	English
Publisher	Research Association of Statistical Sciences
Publisher	統計科学研究会
Date	2018-12
Source Title	Bulletin of informatics and cybernetics
Vol	50
First Page	1
Last Page	13
Publication Type	Version of Record
Access Rights	open access
Crossref DOI	https://doi.org/10.5109/2232334
Abstract	We discuss the asymptotic properties with respect to nonparametric regression for circular data. We reveal theoretical properties for circular nonparametric regression by applying von Mises (VM) and w...rapped Cauchy (WC) kernels. We derive the asymptotic normalities and the convergence rate of the weighted conditional mean integrated squared errors regarding VM and WC kernels. The numerical experiment shows that WC kernel outperforms VM kernel in the small samples, and the theoretical properties are supported in the large samples.show more

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PISSN	0286-522X
EISSN	2435-743X
NCID	AA10634475
Record ID	2232334
Peer-Reviewed	Refereed
Subject Terms	Nonparametric regression
	Circular data
	Von Mises distribution
	Wrapped Cauchy distribution
Funding Information	Funder Name 日本学術振興会 Japan Society for the Promotion of Science Award Number 16K00043 Award Title ネットワーク統計学の開拓と災害・防災ネットワーク分析への展開
	Funder Name 日本学術振興会 Japan Society for the Promotion of Science Award Number 24500339 Award Title ネットワーク上のノンパラメトリック統計理論の構築
	Funder Name 日本学術振興会 Japan Society for the Promotion of Science Award Number 16H02790 Award Title 多様なノンパラメトリック推測法の融合による新たな高精度統計手法の開発
Created Date	2019.04.23
Modified Date	2020.10.22