Guest editorial: Semiparametric function estimation and testing

被引：0
作者：
Schimek, MG [1 ]
机构：
[1] Karl Franzens Univ Graz, Graz, Austria
来源：
STATISTICS AND COMPUTING | 2001年 / 11卷 / 04期
关键词：
Bayesian estimation; bootstrap; curve estimation; generalized partial linear models; hazard regression; Markov chain Monte Carlo; nonparametric regression; profile likelihood; semiparametric regression; smoothing; test procedures;
D O I：
10.1023/A:1011973117955
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
引用
收藏
页码：291 / 292
页数：2
相关论文
共 50 条
[21]   Semiparametric estimation with missing covariates [J].
Bravo, Francesco .
JOURNAL OF MULTIVARIATE ANALYSIS, 2015, 139 :329-346
[22]   Estimation in semiparametric spatial regression [J].
Gao, Jiti ;
Lu, Zudi ;
Tjostheim, Dag .
ANNALS OF STATISTICS, 2006, 34 (03) :1395-1435
[23]   Semiparametric estimation of the link function in binary-choice single-index models [J].
Ker, Alan P. ;
Sam, Abdoul G. .
COMPUTATIONAL STATISTICS, 2018, 33 (03) :1429-1455
[24]   Goodness-of-fit tests in semiparametric transformation models using the integrated regression function [J].
Coiling, Benjamin ;
Van Keilegom, Ingrid .
JOURNAL OF MULTIVARIATE ANALYSIS, 2017, 160 :10-30
[25]   Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction [J].
Gupta, Cherry ;
Cobre, Juliana ;
Polpo, Adriano ;
Sinha, Debjayoti .
BIOMETRICAL JOURNAL, 2016, 58 (05) :1164-1177
[26]   Workload portfolio optimization for virtualized computer systems based on semiparametric quantile function estimation [J].
Li, Ta-Hsin .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2011, 60 :519-539
[27]   Testing the adequacy of semiparametric transformation models [J].
Allison, J. S. ;
Huskova, M. ;
Meintanis, S. G. .
TEST, 2018, 27 (01) :70-94
[28]   Testing the adequacy of semiparametric transformation models [J].
J. S. Allison ;
M. Hušková ;
S. G. Meintanis .
TEST, 2018, 27 :70-94
[29]   Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine [J].
Kong, Dehan ;
Maity, Arnab ;
Hsu, Fang-Chi ;
Tzeng, Jung-Ying .
BIOMETRICS, 2016, 72 (02) :364-371
[30]   Locally adaptive semiparametric estimation of the mean and variance functions in regression models [J].
Chan, David ;
Kohn, Robert ;
Nott, David ;
Kirby, Chris .
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2006, 15 (04) :915-936
12345