{"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}
引用次数: 0
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...