5 citations · 5 across the 10 of their papers we have counts for
6 papers · 1 filter
Weak Form Learning for Mean-Field Partial Differential Equations: an Application to Insect Movement
Seth Minor, Bret D. Elderd, Benjamin Van Allen +2
Insect species subject to infection, predation, and anisotropic environmental conditions may exhibit preferential movement patterns. Given the innate stochasticity of exogenous fac…
Bias and Coverage Properties of the WENDy-IRLS Algorithm
Abhi Chawla, David M. Bortz, Vanja Dukic
The Weak form Estimation of Nonlinear Dynamics (WENDy) method is a recently proposed class of parameter estimation algorithms that exhibits notable noise robustness and computation…
Learning Structured Population Models from Data with WSINDy
Rainey Lyons, Vanja Dukic, David M. Bortz
In the context of population dynamics, identifying effective model features, such as fecundity and mortality rates, is generally a complex and computationally intensive process, es…
A practical identifiability criterion leveraging weak-form parameter estimation
Nora Heitzman-Breen, Vanja Dukic, David M. Bortz
In this work, we define a practical identifiability criterion, (e, q)-identifiability, based on a parameter e, reflecting the noise in observed variables, and a parameter q, reflec…
WENDy for Nonlinear-in-Parameters ODEs
Nic Rummel, Daniel A. Messenger, Stephen Becker +2
The Weak-form Estimation of Non-linear Dynamics (WENDy) framework is a recently developed approach for parameter estimation and inference of systems of ordinary differential equati…
Learning Physically Interpretable Atmospheric Models from Data with WSINDy
Seth Minor, Daniel A. Messenger, Vanja Dukic +1
The multiscale and turbulent nature of Earth's atmosphere has historically rendered accurate weather modeling a hard problem. Recently, there has been an explosion of interest surr…