Richard M. Jiang

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Minimally Invasive

Functional Connectivity

Bayesian Methods

Top Venues

Publications

Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN (2022)
Richard M. Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. 18 (1) (2022)
Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR (2021)
Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. 22 (1) (2021)
Richard M. Jiang, Arya A. Pourzanjani, Mitchell J. Cohen, Linda R. Petzold
Associations of longitudinal D-Dimer and Factor II on early trauma survival risk. BMC Bioinform. 22 (1) (2021)
Richard M. Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda Petzold
Epidemiological modeling in StochSS Live! Bioinform. 37 (17) (2021)
Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. CoRR (2020)
Yuanyang Zhang, Richard M. Jiang, Linda R. Petzold
Survival Topic Models for Predicting Outcomes for Trauma Patients. ICDE (2017)
Arya A. Pourzanjani, Tie Bo Wu, Richard M. Jiang, Mitchell J. Cohen, Linda R. Petzold
Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach. MLHC (2017)