Code and data to reproduce all results and graphs reported in Tannenbaum et al. (2022). This folder contains data files (.dta files) and a Stata do-file (code.do) that stitches together the different
Case-controls study assessing the performance of our dynamic Bayesian algorithm for identifying HCV cases at higher risk of HCC-diagnosis during 2009–2014.
This manuscript establishes a pathway to reconstruct material parameters from measurements within the Landau–de Gennes model for nematic liquid crystals. We present a Bayesian approach to this inverse