Bei Jiang
Cited by
Cited by
Achalasia: incidence, prevalence and survival. A population‐based study
DC Sadowski, F Ackah, B Jiang, LW Svenson
Neurogastroenterology & Motility 22 (9), e256-e261, 2010
Negative log likelihood ratio loss for deep neural network classification
H Yao, D Zhu, B Jiang, P Yu
Proceedings of the Future Technologies Conference (FTC) 2019: Volume 1, 276-282, 2020
Learning privately over distributed features: An ADMM sharing approach
DN Yaochen Hu, Keshi Ge, Peng Liu, Linglong Kong, Bei Jiang
NeurIPS-SpicyFL 2020, 2020
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
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
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
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
Advanced algorithms for penalized quantile and composite quantile regression
M Pietrosanu, J Gao, L Kong, B Jiang, D Niu
Computational Statistics 36, 333-346, 2021
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
Age‐period‐cohort models using smoothing splines: a generalized additive model approach
B Jiang, KC Carriere
Statistics in Medicine 33 (4), 595-606, 2014
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis
M Pietrosanu, H Shu, B Jiang, L Kong, G Heo, Q He, J Gilmore, H Zhu
Biostatistics, kxab031, 2021
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
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
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
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
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 117 (537), 52-66, 2021
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
Achalasia: incidences, prevalence and survival
DC Sandowoski, F Ackah, B Jiang, LW Svenson
A population based study. Neurogastroenterol Motil 22, 256-261, 2010
Word embeddings via causal inference: Gender bias reducing and semantic information preserving
L Ding, D Yu, J Xie, W Guo, S Hu, M Liu, L Kong, H Dai, Y Bao, B Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11864 …, 2022
Balancing gender bias in job advertisements with text-level bias mitigation
S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ...
Frontiers in big Data 5, 1, 2022
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