Bei Jiang
Title
Cited by
Cited by
Year
Achalasia: incidence, prevalence and survival. A population‐based study
DC Sadowski, F Ackah, B Jiang, LW Svenson
Neurogastroenterology & Motility 22 (9), e256-e261, 2010
3242010
Negative log likelihood ratio loss for deep neural network classification
H Yao, D Zhu, B Jiang, P Yu
Proceedings of the Future Technologies Conference, 276-282, 2019
252019
Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study
E Petkova, RT Ogden, T Tarpey, A Ciarleglio, B Jiang, Z Su, T Carmody, ...
Contemporary clinical trials communications 6, 22-30, 2017
232017
Under‐reporting of compensable mesothelioma in Alberta
MW Cree, M Lalji, B Jiang, KC Carriere
American journal of industrial medicine 52 (7), 526-533, 2009
222009
Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances
B Jiang, MR Elliott, MD Sammel, N Wang
Biometrics 71 (2), 487-497, 2015
142015
Age‐period‐cohort models using smoothing splines: a generalized additive model approach
B Jiang, KC Carriere
Statistics in Medicine 33 (4), 595-606, 2014
142014
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
Modeling Short-and long-term characteristics of follicle stimulating hormone as predictors of severe hot flashes in penn ovarian aging study
B Jiang, N Wang, MD Sammel, MR Elliott
Journal of the Royal Statistical Society. Series C, Applied statistics 64 (5 …, 2015
112015
Learning privately over distributed features: An ADMM sharing approach
Y Hu, K Ge, P Liu, L Kong, B Jiang, D Niu
NeurIPS-SpicyFL 2020, 2020
92020
Explaining Alberta’s rising mesothelioma rates
M Cree, M Lalji, B Jiang, KC Carriere, J Beach, A Kamruzzaman
Chronic Dis Can 29 (4), 144-152, 2009
82009
Advanced algorithms for penalized quantile and composite quantile regression
M Pietrosanu, J Gao, L Kong, B Jiang, D Niu
Computational Statistics 36 (1), 333-346, 2021
72021
Wavelet-based LASSO in functional linear quantile regression
Y Wang, L Kong, B Jiang, X Zhou, S Yu, L Zhang, G Heo
Journal of Statistical Computation and Simulation 89 (6), 1111-1130, 2019
62019
A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies
B Jiang, E Petkova, T Tarpey, RT Ogden
Biometrics 76 (1), 87-97, 2020
52020
Latent class modeling using matrix covariates with application to identifying early placebo responders based on eeg signals
B Jiang, E Petkova, T Tarpey, RT Ogden
The annals of applied statistics 11 (3), 1513, 2017
42017
Bayesian estimation of associations between identified longitudinal hormone subgroups and age at final menstrual period
B Jiang, MD Sammel, EW Freeman, N Wang
BMC medical research methodology 15 (1), 1-10, 2015
32015
M-estimation in Low-rank Matrix Factorization: a General Framework
W Tu, P Liu, J Zhao, Y Liu, L Kong, G Li, B Jiang, G Tian, H Yao
2019 IEEE International Conference on Data Mining (ICDM), 568-577, 2019
22019
Bayesian model assessments in evaluating mixtures of longitudinal trajectories and their associations with cross-sectional health outcomes
B Jiang, MR Elliott, MD Sammel, N Wang
Statistics and Its Interface 9 (2), 183-201, 2016
22016
Balancing Inferential Integrity and Disclosure Risk via Model Targeted Masking and Multiple Imputation
B Jiang, AE Raftery, RJ Steele, N Wang
Journal of the American Statistical Association, 1-15, 2021
12021
Meta-HAR: Federated Representation Learning for Human Activity Recognition
C Li, D Niu, B Jiang, X Zuo, J Yang
Proceedings of the Web Conference 2021, 912-922, 2021
12021
Sparse multicategory generalized distance weighted discrimination in ultra-high dimensions
T Su, Y Wang, Y Liu, WG Branton, E Asahchop, C Power, B Jiang, L Kong, ...
Entropy 22 (11), 1257, 2020
12020
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Articles 1–20