Survival Topic Models for Predicting Outcomes for Trauma Patients. - Yuanyang Zhang; Richard M. Jiang 002; Linda R. Petzold (ICDE, 2017)

Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach. - Arya A. Pourzanjani; Tie Bo Wu; Richard M. Jiang 002; Mitchell J. Cohen; Linda R. Petzold (MLHC, 2017)

Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. - Yun Zhao 001; Richard M. Jiang 002; Zhenni Xu; Elmer Guzman; Paul K. Hansma; Linda R. Petzold (CoRR, 2020)

Epidemiological modeling in StochSS Live! - Richard M. Jiang 002; Bruno Jacob; Matthew Geiger; Sean Matthew; Bryan Rumsey; Prashant Singh; Fredrik Wrede; Tau-Mu Yi; Brian Drawert; Andreas Hellander; Linda R. Petzold (Bioinform., 2021)

Associations of longitudinal D-Dimer and Factor II on early trauma survival risk. - Richard M. Jiang 002; Arya A. Pourzanjani; Mitchell J. Cohen; Linda R. Petzold (BMC Bioinform., 2021)

Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. - Richard M. Jiang 002; Fredrik Wrede; Prashant Singh; Andreas Hellander; Linda R. Petzold (BMC Bioinform., 2021)

Robust and integrative Bayesian neural networks for likelihood-free parameter inference. - Fredrik Wrede; Robin Eriksson; Richard M. Jiang 002; Linda R. Petzold; Stefan Engblom; Andreas Hellander; Prashant Singh (IJCNN, 2022)

Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. - Richard M. Jiang 002; Prashant Singh; Fredrik Wrede; Andreas Hellander; Linda R. Petzold (PLoS Comput. Biol., 2022)