8 citations · 10 across the 3 of their papers we have counts for
4 papers
Recurrent Neural Networks for Partially Observed Dynamical Systems
Uttam Bhat, Stephan B. Munch
Complex nonlinear dynamics are ubiquitous in many fields. Moreover, we rarely have access to all of the relevant state variables governing the dynamics. Delay embedding allows us,…
Global evidence for non-random dynamics in fish recruitment
Charles T. Perretti, Stephan B. Munch, Michael J. Fogarty +1
Understanding what controls apparently random fluctuations in fish recruitment is a major challenge in fisheries science. Our current inability to anticipate recruitment failures h…
Avoiding tipping points in fisheries management through Gaussian Process Dynamic Programming
Carl Boettiger, Marc Mangel, Stephan Munch
Model uncertainty and limited data are fundamental challenges to robust management of human intervention in a natural system. These challenges are acutely highlighted by concerns t…
Reply to Hartig et al. [arXiv:1305.3544]: The "true model" myth
Charles T. Perretti, Stephan B. Munch, George Sugihara
We have shown that commonly used model-fitting methods fail when the underlying ecological system is chaotic. Importantly, Hartig & Dormann [arXiv:1305.3544] suggest an alternative…