Showing stat.APShow all
2 papers · 1 filter
stat.AP2023
Flexible hierarchical risk modeling for large insurance data via NumPyro
Christopher Krapu, Mark Borsuk
Data analysis and individual policy-level modeling for insurance involves handling large data sets with strong spatiotemporal correlations, non-Gaussian distributions, and complex…
stat.AP2023
Employing Gaussian process priors for studying spatial variation in the parameters of a cardiac action potential model
Alejandro Nieto Ramos, Christopher L. Krapu, Elizabeth M. Cherry +1
Cardiac cells exhibit variability in the shape and duration of their action potentials in space within a single individual. To create a mathematical model of cardiac action potenti…