4 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Bayesian adaptive design for neural recruitment curves
Vishweshwar Tyagi, Saihari S. Dukkipati, Daniel Twili +4
Nonlinear response models remain ubiquitous across disciplines with recruitment curves describing muscle response to neural stimulation. Conventional acquisition methods typically…
Approximate posterior recalibration
Tiffany Cai, Philip Greengard, Ben Goodrich +1
Bayesian inference is often implemented using approximations, which can yield interval estimates that are too narrow, not fully capturing the uncertainty in the posterior distribut…
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
Jonas Mikhaeil, Andrew Gelman, Philip Greengard
Label bias occurs when the outcome of interest is not directly observable and instead, modeling is performed with proxy labels. When the difference between the true outcome and the…