Dengdeng Yu
Dengdeng Yu
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
Partial functional linear quantile regression for neuroimaging data analysis
D Yu, L Kong, I Mizera
Neurocomputing 195, 74-87, 2016
292016
Sparse wavelet estimation in quantile regression with multiple functional predictors
D Yu, L Zhang, I Mizera, B Jiang, L Kong
Computational Statistics & Data Analysis 136, 12-29, 2019
122019
Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies
D Yu, L Wang, D Kong, H Zhu
arXiv preprint arXiv:2007.04558, 2020
32020
An Alternative Approach to Functional Linear Partial Quantile Regression
D Yu, L Kong, I Mizera
arXiv preprint arXiv:1709.02069, 2017
12017
Quantile regression methods in functional data analysis
D Yu
12017
Predictors of change in suicidal ideation across treatment phases of major depressive disorder: analysis of the STAR* D data
CR Weissman, I Hadas, D Yu, B Jones, D Kong, BH Mulsant, ...
Neuropsychopharmacology 46 (7), 1293-1299, 2021
2021
Multivariate functional response low‐rank regression with an application to brain imaging data
X Ding, D Yu, Z Zhang, D Kong
Canadian Journal of Statistics 49 (1), 150-181, 2021
2021
Nonparametric principal subspace regression
M Koudstaal, D Yu, D Kong, F Yao
arXiv preprint arXiv:1910.02866, 2019
2019
Comparison of three methods of generating robust statistical designs
D Yu
University of Alberta (Canada), 2013
2013
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