DIEP seminar by Vishwesha Guttal
Data driven discovery of stochastic dynamical
In theoretical ecology, we often write mechanistic models in the form of differential equations and make various predictions. Here, I introduce the audience to the inverse problem: Is it possible to infer the underlying equations we had only time series data from models? Specifically, I will present an equation discovery methodology that takes time series data of state variables as input and outputs a stochastic differential equation.
If you wish to attend this seminar online, please send an email to s.banerjee2@uva.nl to receive the zoom-link.
Nabeel et al, 2025, Am Nat, doi: https://www.journals.uchicago.edu/doi/10.1086/734083