Statsitical Theory and Methodology
Network Data Analysis, Ranking
B Jiang, C Leng, T Yan, Q Yao and X Yu (2025) A two-way heterogeneity model for dynamic networks. The Annals of Statistics, to appear.
P Dong, R Han, B Jiang and Y Xu (2025) Statistical ranking with dynamic covariates. Journal of the Royal Statistical Society Series B, to appear.
B Jiang, J Li and Q Yao (2023) Autoregressive networks. Journal of Machine Learning Research, 24, 1-69.
Q Wang, T Yan, B Jiang and C Leng (2022) Two-mode networks: inference with as many parameters as actors and differential privacy. Journal of Machine Learning Research. 292, 1-38.
T Yan, B Jiang, SE Fienberg, C Leng (2019) Statistical inference in a directed network model with covariates. Journal of the American Statistical Association, 114, 857-868.
Artifical Intelligence
M Sun, H Rui, B Jiang, H Qi, D Sun, Y Yuan, J Huang (2025) LAMBDA: A large language model based data agent. Journal of the American Statistical Association, to appear.
High Dimensional Data Analysis
B Jiang, J Lv, J Li and MY Cheng (2025) Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates. Journal of the Royal Statistical Society Series B, 87(2), 337-361.
Q Li, B Jiang and D Sun (2023) MARS: A second-order reduction algorithm for high-dimensional sparse precision matrices estimation. Journal of Machine Learning Research, 24 (134), 1-44.
C Wang, B Jiang and L Zhu (2021) Penalized interaction estimation for ultrahigh dimensional quadratic regression. Statistica Sinica, 31, 1549-1570.
B Jiang, Z Chen and C Leng (2020) Dynamic linear discriminant analysis in high dimensional space. Bernoulli, 26, 1234-1268.
C Wang, B Jiang (2020) An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss. Computational Statistics & Data Analysis, 142, 106812.
B Jiang, X Wang, C Leng (2019) A direct approach for sparse quadratic discriminant analysis. Journal of Machine Learning Research, 19 (31).
C Wang, B Jiang (2018) On the dimension effect of regularized linear discriminant analysis. Electronic Journal of Statistics, 12, 2709-2742.
B Jiang (2015) An empirical estimator for the sparsity of a large covariance matrix under multivariate normal assumptions. Annals of the Institute of Statistical Mathematics, 67, 211-227.
B Jiang (2013) Covariance selection by thresholding the sample correlation matrix. Statistics & Probability Letters, 83, 2492-2498.
B Jiang, WL Loh (2012) On the sparsity of signals in a random sample. Biometrika, 99, 915-928.
High Frequency Data Analysis
B Jiang, C Liu and CY Tang (2023) Dynamic covariance matrix estimation and portfolio analysis with high-frequency data. Journal of Financial Econometrics.
Biostatsitics (Dynamic Treatment Regimes, Causual Inferences, Survival Analysis, etc.)
J Chen, B Jiang, J Li (2023) Nonparametric instrument model averaging. Journal of Nonparametric Statistics, 1-22
HM Ng, B Jiang and KY Wong (2023) Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis. Biometrical Journal, 65, 2100139.
B Jiang, R Song, J Li and D Zeng (2019) Entropy learning for dynamic treatment regimes (with discussion). Statistica Sinica, 29, 1633-1710.
J Li, B Jiang, JP Fine (2013) Multicategory reclassification statistics for assessing improvements in diagnostic accuracy. Biostatistics, 14, 382-394.
Conference Proceedings
KH Lim, B Jiang, EP Lim, P Achananuparp (2014) Do you know the speaker?: an online experiment with authority messages on event websites. Proceedings of the 23rd International Conference on World Wide Web, 1247-1252.
Collaborative Work
Wang, et al. (2020) The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores. PeerJ 8, e10018.
L Singh, et al. (2015) Back to basics: a bilingual advantage in infant visual habituation. Child development 86 (1), 294-302.
· HKPolyU Start-up Fund (PI), 01/10/2015-30/09/2018. Funding Level: HK$350,000.
· RGC Early Career Scheme (PI), 01/01/2017-31/12/2019. Funding Level: 459,423HKD including HK$50,000 for educational activities.
· NSFC Young Scientist Fund (PI), 01/01/2017-31/12/2019. Funding Level: 240,000RMB.
· RGC General Research Fund (PI), 01/01/2023-31/12/2025. Funding Level: 661,000HKD.