| Honors and Students Awards |
The volume Statistical Methods in Epilepsy, published by Chapman & Hall/CRC, co-Edited by Sharon Chiang, Vikram Rao and Marina Vannucci, is forthcoming!
Click here to order
Researchers use pioneering new method to unlock brain’s noradrenaline system (Bang et al, 2023, Current Biology)
Featured in EurekAlert! | AAAS news
Seizures happen like clockwork — but depend on the clock (Wang et al, 2022, Proceedings of the National Academy of Sciences).
Featured in Futurity and ZME Science and EurekAlert! | AAAS news
The Handbook of Bayesian Variable Selection, published by Chapman & Hall/CRC, co-Edited by Mahlet G. Tadesse and Marina Vannucci, is forthcoming!
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A Primer on Bayesian Statistics and Modelling (Van de Schoot et al., 2021, Nature Review Methods Primers) is article 1 on volume 1 of a new Nature journal!
A Bayesian Model of Microbiome Data for Simultaneous Identification of Covariate Associations and Prediction of Phenotypic Outcomes (Koslovsky et. al. 2020, AOAS) presented as “Best of Annals Of Applied Stats” at JSM 2021
Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling (Cremaschi et al, 2019, Bayesian Analysis) selected for Honorable mention, 2018 ISBA Lindley Prize.
Prospective Validation Study of an Epilepsy Seizure Risk System for Outpatient Evaluation (Chiang et al., 2020, Epilepsia) featured in EurekAlert! | AAAS news (12/2019)
Epilepsy as a Dynamic Disease: A Bayesian Model for Differentiating Seizure Risk from Natural Variability (Chiang et. al, 2018, Epilepsia OPEN) receives 2019 Epilepsia OPEN Prize in Clinical Science!
A Fully Bayesian Latent Variable Model for Integrative Clustering Analysis of Multi-type Omics Data (Mo et al., 2018, Biostatistics) among top cited articles in 2019
Bayesian Models for Functional Magnetic Resonance Imaging Data Analysis (Zhang et. al., 2015, WIREs Computational Statistics) in the Top Ten WIREs Comp Stat articles in 2019
A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome After Anterior Temporal Lobe Resection (Chiang et al., 2017, Frontiers in Neuroscience) featured in EurekAlert! | AAAS news (12/2017)
A Bayesian Vector Autoregressive Model for Multi-Subject Effective Connectivity Inference using Multi-Modal Neuroimaging Data (Chiang et al., 2017, Human Brain Mapping) featured in EurekAlert! | AAAS news (03/2017)
