Spatial Distribution of Taiwan Air Pollutant-An Application of Spatial Quantile Regression, The 28th International Biometric Conference
學年 105
學期 1
發表日期 2016-08-11
作品名稱 Spatial Distribution of Taiwan Air Pollutant-An Application of Spatial Quantile Regression, The 28th International Biometric Conference
作品名稱(其他語言)
著者 Chang, Y.-M
作品所屬單位
出版者
會議名稱 第十屆海峽兩岸統計與概率研討會
會議地點 成都,中國
摘要 Many literatures have pointed out that air pollutants increase morbidity risks of a number of diseases. It would affect the growth ofnational health expense . In this research, we are interested in estimating quantiles of air pollutants. The quantile is decomposed as a linear combination of basis functions. The quantile regression method is used to demonstrate the spatial distribution of air pollutants in different months. A subset selection method of Lasso is used to choose a suitable subset of the basis functions and estimate corresponding parameters. This method is computationally efficient for large data sets.
關鍵字 air pollution;spatial temporal data;quantile regression;variable selection;Lasso
語言 zh_TW
收錄於
會議性質 兩岸
校內研討會地點
研討會時間 20160811~20160813
通訊作者
國別 CHN
公開徵稿
出版型式
出處 第十屆海峽兩岸統計與概率研討會
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112681 )

SDGS 氣候行動,潔淨水與衛生,尊嚴就業與經濟發展,產業創新與基礎設施