{"title":"回归分位数断点数目的渐近行为","authors":"PortnoyStephen","doi":"10.5555/3037621.3037630","DOIUrl":null,"url":null,"abstract":"In the general regression model $y_i = x'_i \\beta + e_i $, for $i = 1, \\cdots ,n$ and $\\beta \\in {\\bf R}^p $, the “regression quantile” $\\hat{\\beta } (\\theta )$ estimates the coefficients of the li...","PeriodicalId":200176,"journal":{"name":"Siam Journal on Scientific and Statistical Computing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymptotic Behavior of the Number of Regression Quantile Breakpoints\",\"authors\":\"PortnoyStephen\",\"doi\":\"10.5555/3037621.3037630\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the general regression model $y_i = x'_i \\\\beta + e_i $, for $i = 1, \\\\cdots ,n$ and $\\\\beta \\\\in {\\\\bf R}^p $, the “regression quantile” $\\\\hat{\\\\beta } (\\\\theta )$ estimates the coefficients of the li...\",\"PeriodicalId\":200176,\"journal\":{\"name\":\"Siam Journal on Scientific and Statistical Computing\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Siam Journal on Scientific and Statistical Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/3037621.3037630\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Siam Journal on Scientific and Statistical Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/3037621.3037630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asymptotic Behavior of the Number of Regression Quantile Breakpoints
In the general regression model $y_i = x'_i \beta + e_i $, for $i = 1, \cdots ,n$ and $\beta \in {\bf R}^p $, the “regression quantile” $\hat{\beta } (\theta )$ estimates the coefficients of the li...