Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Li Xing, Zhu"'
Publikováno v:
Journal of the American Statistical Association. :1-13
Autor:
Ka-Kit Chua, Adrian Wong, Kam-Wa Chan, Yin-Kei Lau, Zhao-Xiang Bian, Jia-Hong Lu, Liang-Feng Liu, Lei-Lei Chen, Ka-Ho Chan, Kim-Pong Tse, Anne Chan, Ju-Xian Song, Justin Wu, Li-Xing Zhu, Vincent Mok, Min Li
Publikováno v:
Parkinson's Disease, Vol 2017 (2017)
Nonmotor symptoms (NMS) of Parkinson’s disease (PD) have devastating impacts on both patients and their caregivers. Jiawei-Liujunzi Tang (JLT) has been used to treat some NMS of PD based on the Chinese medicine theory since Qing dynasty. Here we re
Externí odkaz:
https://doaj.org/article/d993dd3d137f41d9b137f61683f1a6cf
Autor:
Wu Yuanqing Hao Jie Lu Dajin Li Xing Zhu Xuelong (Department of Electronic Engineering, Tsinghua University, Beijing 100084)
Publikováno v:
Tongxin xuebao, Vol (1997)
Externí odkaz:
https://doaj.org/article/d3b411272e2d4ddf87725c847b1adada
Publikováno v:
In Tetrahedron: Asymmetry 14 July 2000 11(13):2677-2682
Autor:
PING WU1, LI XING ZHU2 lzhu@hkbu.edu.hk
Publikováno v:
Scandinavian Journal of Statistics. Jun2010, Vol. 37 Issue 2, p253-263. 11p. 2 Charts.
Autor:
Chuanxiang Xu, Hong-Tao Liu, Na Zhang, Gaihong An, Mingquan Wu, Xuewei Chen, Tianhui Wang, Xiaojun She, Qiang Ma, Bo Cui, Li Xing Zhu
Publikováno v:
Experimental Neurology. 238:122-129
The non-auditory effects of noise exposure on the central nervous system have been established both epidemiologically and experimentally. Chronic noise exposure (CNE) has been associated with tau hyperphosphorylation and Alzheimer's disease (AD)-like
Publikováno v:
Journal of Multivariate Analysis. 112:1-23
We study nonlinear regression models whose both response and predictors are measured with errors and distorted as single-index models of some observable confounding variables, and propose a multicovariate-adjusted procedure. We first examine the rela
Autor:
Li-Ping Zhu1 lzhu@hkbu.edu.hk, Li-Xing Zhu1,2
Publikováno v:
Journal of the Royal Statistical Society: Series B (Statistical Methodology). Mar2009, Vol. 71 Issue 2, p525-548. 24p. 6 Charts.
Publikováno v:
Statistics and Computing. 21:325-334
To reduce the predictors dimension without loss of information on the regression, we develop in this paper a sufficient dimension reduction method which we term cumulative Hessian directions. Unlike many other existing sufficient dimension reduction
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 21:237-246
Many survival studies record the times to two or more distinct failures on each subject. The failures may be events of different natures or may be repetitions of the same kind of event. In this article, we consider the regression analysis of such mul