2 papers
cs.LG2026
Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions
Wenhao Mu, Facundo Yan, Anik Mumssen +2
Deep learning has enabled significant advances in time-series causal inference, yet progress remains constrained by the lack of realistic benchmarks with observable counterfactual…
q-bio.QM2024
Examining the impact of forcing function inputs on structural identifiability
Jessica R Conrad, James M Hyman, Marisa C Eisenberg
For mathematical and experimental ease, models with time varying parameters are often simplified to assume constant parameters. However, this simplification can potentially lead to…