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	A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes
	He, Heping; Severini, Thomas A.
刊名	Computational Statistics and Data Analysis
	2016
卷号	Vol.103页码:316-329
关键词	Semiparametric model Gaussian process regression Generalized least squares Restricted maximum likelihood
ISSN号	0233-1888
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6065471
专题	湖南大学
作者单位	1.College of Finance and Statistics, Hunan University , Changsha, Hunan 2.410082, China 3.Department of Statistics, Northwestern University, 2006 Sheridan Road, Evanston 4.IL 5.60208, United States
推荐引用方式 GB/T 7714	He, Heping,Severini, Thomas A.. A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes[J]. Computational Statistics and Data Analysis,2016,Vol.103:316-329.
APA	He, Heping,&Severini, Thomas A..(2016).A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes.Computational Statistics and Data Analysis,Vol.103,316-329.
MLA	He, Heping,et al."A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes".Computational Statistics and Data Analysis Vol.103(2016):316-329.

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