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03/14/2020
Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism
Motivation: There is a growing need to integrate mechanistic models of b...
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03/12/2020
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
Observational healthcare data offer the potential to estimate causal eff...
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04/03/2019
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs)
Causal estimation of treatment effect has an important role in guiding p...
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12/08/2018
Regression Based Bayesian Approach for Nonparanormal Graphical Models
A nonparanormal graphical model is a semiparametric generalization of a ...
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12/07/2018
Rank Likelihood for Bayesian Nonparanormal Graphical Models
Gaussian graphical models, where it is assumed that the variables of int...
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06/12/2018