63 citations · 246 across the 20 of their papers we have counts for
3 papers · 1 filter
Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations
Petar Jovanovski, Andrew Golightly, Umberto Picchini
We develop a Bayesian inference method for discretely-observed stochastic differential equations (SDEs). Inference is challenging for most SDEs, due to the analytical intractabilit…
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
Stefan T. Radev, Marvin Schmitt, Valentin Pratz +3
This work proposes ``jointly amortized neural approximation'' (JANA) of intractable likelihood functions and posterior densities arising in Bayesian surrogate modeling and simulati…
Statistical modeling of diabetic neuropathy: Exploring the dynamics of nerve mortality
Konstantinos Konstantinou, Farnaz Ghorbanpour, Umberto Picchini +2
Diabetic neuropathy is a disorder characterized by impaired nerve function and reduction of the number of epidermal nerve fibers per epidermal surface. Additionally, as neuropathy…