受强制性开放获取政策约束的文章 - Yehua Li了解详情
无法在其他位置公开访问的文章：3 篇
Frailty models for pneumonia to death with a left‐censored covariate
A Sattar, SK Sinha, XF Wang, Y Li
Statistics in medicine 34 (14), 2266-2280, 2015
强制性开放获取政策： US National Institutes of Health, Natural Sciences and Engineering Research …
Cardiovascular Benefits Of Resistance, Aerobic, And Combined Exercise (cardiorace): 547
D Lee, AG Brellenthin, LM Lanningham-Foster, ML Kohut, Y Li
Medicine & Science in Sports & Exercise 53 (8S), 183, 2021
强制性开放获取政策： US National Institutes of Health
Nonparametric and Semiparametric Regression for Dependent Data
Y Li, N Wang
The Work of Raymond J. Carroll: The Impact and Influence of a Statistician …, 2014
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：27 篇
Associations of resistance exercise with cardiovascular disease morbidity and mortality
Y Liu, DC Lee, Y Li, W Zhu, R Zhang, X Sui, CJ Lavie, SN Blair
Medicine and science in sports and exercise 51 (3), 499, 2019
强制性开放获取政策： US National Institutes of Health
Selecting the number of principal components in functional data
Y Li, N Wang, RJ Carroll
Journal of the American Statistical Association 108 (504), 1284-1294, 2013
强制性开放获取政策： US National Institutes of Health
Generalized functional linear models with semiparametric single-index interactions
Y Li, N Wang, RJ Carroll
Journal of the American Statistical Association 105 (490), 621-633, 2010
强制性开放获取政策： US National Institutes of Health
Partially linear functional additive models for multivariate functional data
RKW Wong, Y Li, Z Zhu
Journal of the American Statistical Association 114 (525), 406-418, 2019
强制性开放获取政策： US National Science Foundation, US Department of Agriculture
Functional principal component analysis of spatiotemporal point processes with applications in disease surveillance
Y Li, Y Guan
Journal of the American Statistical Association 109 (507), 1205-1215, 2014
强制性开放获取政策： US National Institutes of Health
Oracle-efficient confidence envelopes for covariance functions in dense functional data
G Cao, L Wang, Y Li, L Yang
Statistica Sinica, 359-383, 2016
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Comparison of the cardiovascular benefits of resistance, aerobic, and combined exercise (CardioRACE): rationale, design, and methods
AG Brellenthin, LM Lanningham-Foster, ML Kohut, Y Li, TS Church, ...
American heart journal 217, 101-111, 2019
强制性开放获取政策： US National Institutes of Health
Unified empirical likelihood ratio tests for functional concurrent linear models and the phase transition from sparse to dense functional data
H Wang, PS Zhong, Y Cui, Y Li
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018
强制性开放获取政策： US National Science Foundation
Unified principal component analysis for sparse and dense functional data under spatial dependency
H Zhang, Y Li
Journal of Business & Economic Statistics 40 (4), 1523-1537, 2022
强制性开放获取政策： US National Institutes of Health
From multivariate to functional data analysis: Fundamentals, recent developments, and emerging areas
Y Li, Y Qiu, Y Xu
Journal of Multivariate Analysis 188, 104806, 2022
强制性开放获取政策： US Department of Energy, US National Institutes of Health
Nested hierarchical functional data modeling and inference for the analysis of functional plant phenotypes
Y Xu, Y Li, D Nettleton
Journal of the American Statistical Association 113 (522), 593-606, 2018
强制性开放获取政策： US National Science Foundation
Generalized linear mixed models with Gaussian mixture random effects: Inference and application
L Pan, Y Li, K He, Y Li, Y Li
Journal of multivariate analysis 175, 104555, 2020
强制性开放获取政策： US National Institutes of Health
Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors
Y Park, B Li, Y Li
Journal of the American Statistical Association 118 (541), 70-83, 2023
强制性开放获取政策： US National Science Foundation
Semiparametric estimation for measurement error models with validation data
Y Xu, JK Kim, Y Li
Canadian Journal of Statistics 45 (2), 185-201, 2017
强制性开放获取政策： US National Science Foundation
Generalized quasi-likelihood ratio tests for semiparametric analysis of covariance models in longitudinal data
J Tang, Y Li, Y Guan
Journal of the American Statistical Association 111 (514), 736-747, 2016
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions
H Zhu, Y Li, B Liu, W Yao, R Zhang
Canadian Journal of Statistics 50 (1), 267-286, 2022
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Predictive functional linear models with diverging number of semiparametric single-index interactions
Y Liu, Y Li, RJ Carroll, N Wang
Journal of Econometrics 230 (2), 221-239, 2022
强制性开放获取政策： US National Institutes of Health
出版信息和资助信息由计算机程序自动确定