supported by National Natural Science Funds for Distinguished Young Scholar(No.70825004) and (No.71271128);Creative Research Groups of China(No.71271128);NCMIS and Shanghai University of Finance and Economics through Project 211 Phase Ⅲ;Shanghai Leading Academic Discipline Project(No.B803)
This paper is concerned with the estimating problem of a semiparametric varying-coefficient partially linear errors-in-variables model Yi=Xτiβ+Zτiα(Ui)+εi , Wi=Xi+ξi,i=1, · · · , n. Due to measurement er...
National Natural Science Foundation of China (Grant No. 70971082);Shanghai Leading Academic Discipline Project at Shanghai University of Finance and Economics (SHUFE) (Grant No. B803);Key Laboratory of Mathematical Economics (SHUFE), Ministry of Education
This paper derives some uniform convergence rates for kernel regression of some index functions that may depend on infinite dimensional parameter. The rates of convergence are computed for independent, strongly mixing...
Natural Science Funds for Distinguished Young Scholar (No. 70825004);Creative Research Groups of China (No. 10721101);Shanghai University of Finance and Economics Project 211 Phase Ⅲ;Shanghai Leading Academic Discipline Project (No. B803);Zhou's work was supported by Graduate Creation Funds of Shanghai University of Finance and Economics(No. CXJJ-2011-436)
We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the parti...
National Natural Science Funds for Distinguished Young Scholar (No. 70825004);Creative Research Groups of China (No. 10721101);Shanghai University of Finance and Economics Project 211 Phase Ⅲ;Shanghai Leading Academic Discipline Project (No. B803)
Length-biased data arise in many important fields, including epidemiological cohort studies, cancer screening trials and labor economics. Analysis of such data has attracted much attention in the literature. In this p...