2 papers
physics.data-an2026
The Squealer: Sensification of model exploration and model misfit
Andrew Gelman, Andrew H. Jaffe, Eliot Carlson +1
We introduce a method for visual and auditory feedback when exploring the fit of a model to data. Starting with a best-fit curve fit to data, the user can drag the curve to a new p…
stat.CO2026
Preconditioning Hamiltonian Monte Carlo by minimizing Fisher Divergence
Adrian Seyboldt, Eliot L. Carlson, Bob Carpenter
Although Hamiltonian Monte Carlo (HMC) scales as O(d^(1/4)) in dimension, there is a large constant factor determined by the curvature of the target density. This constant factor c…