Чланци са овлашћеним јавним приступом - Yuanyuan LinСазнајте више
Није доступно нигде: 12
Empirical likelihood for least absolute relative error regression
Z Li, Y Lin, G Zhou, W Zhou
Test 23, 86-99, 2014
Овлашћења: Research Grants Council, Hong Kong
A general m-estimation theory in semi-supervised framework
S Song, Y Lin, Y Zhou
Journal of the American Statistical Association 119 (546), 1065-1075, 2024
Овлашћења: Research Grants Council, Hong Kong
Online inference with debiased stochastic gradient descent
R Han, L Luo, Y Lin, J Huang
Biometrika 111 (1), 93-108, 2024
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Group variable selection for relative error regression
X Liu, Y Lin, Z Wang
Journal of Statistical Planning and Inference 175, 40-50, 2016
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A change-point problem in relative error-based regression
Z Wang, W Liu, Y Lin
Test 24 (4), 835-856, 2015
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Fused variable screening for massive imbalanced data
J Xie, M Hao, W Liu, Y Lin
Computational Statistics & Data Analysis 141, 94-108, 2020
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Incorporating Graphical Structure of Predictors in Sparse Quantile Regression
Z Wang, X Liu, W Tang, Y Lin
Journal of Business & Economic Statistics 39 (3), 783-792, 2021
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Association of insomnia with incident chronic cognitive impairment in older adults with type 2 diabetes mellitus: A prospective study of the Hong Kong Diabetes Register
O Chun-Kwan, BWH Siu, VWS Leung, Y Lin, C Ding, ESH Lau, AOY Luk, ...
Journal of Diabetes and its Complications 37 (10), 108598, 2023
Овлашћења: Research Grants Council, Hong Kong
Nonparametric inference on smoothed quantile regression process
M Hao, Y Lin, G Shen, W Su
Computational Statistics & Data Analysis 179, 107645, 2023
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design
Y Lin, J Xie, R Han, N Tang
Journal of Business & Economic Statistics, 1-12, 2022
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Doping control analysis of total arsenic in equine plasma
GHM Chan, W Tang, P Curl, Y Lin, TSM Wan, ENM Ho
Drug Testing and Analysis 12 (10), 1462-1469, 2020
Овлашћења: Research Grants Council, Hong Kong
Robust inference for subgroup analysis with general transformation models
M Han, Y Lin, W Liu, Z Wang
Journal of Statistical Planning and Inference 229, 106100, 2024
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Доступно негде: 24
Least absolute relative error estimation
K Chen, S Guo, Y Lin, Z Ying
Journal of the American Statistical Association 105 (491), 1104-1112, 2010
Овлашћења: US National Institutes of Health
Least product relative error estimation
K Chen, Y Lin, Z Wang, Z Ying
Journal of Multivariate Analysis 144, 91-98, 2016
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors
Y Jiao, G Shen, Y Lin, J Huang
The Annals of Statistics 51 (2), 691-716, 2023
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Category-adaptive variable screening for ultra-high dimensional heterogeneous categorical data
J Xie, Y Lin, X Yan, N Tang
Journal of the American Statistical Association 115 (530), 747-760, 2020
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Efficient estimation of the censored linear regression model
Y Lin, K Chen
Biometrika 100 (2), 525-530, 2013
Овлашћења: Research Grants Council, Hong Kong
Approximation with CNNs in Sobolev Space: with Applications to Classification
G Shen, Y Jiao, Y Lin, J Huang
Advances in Neural Information Processing Systems 35, 2876-2888, 2022
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A relative error-based approach for variable selection
M Hao, Y Lin, X Zhao
Computational Statistics & Data Analysis 103, 250-262, 2016
Овлашћења: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors
D Han, J Huang, Y Lin, G Shen
Journal of Econometrics 230 (2), 416-431, 2022
Овлашћења: US National Science Foundation, National Natural Science Foundation of China …
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