Complex Systems Summer School 2017-Tutorials

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Nonlinear Time Series Analysis using Empirical Dynamic Modeling (EDM)

Hey all, I've done some work with non-linear time series analysis using empirical dynamic modeling (Sugihara et al., 2012). If anyone is interested in these approaches, I'd be happy to give a tutorial on the R EDM package that can be used to look for 1. nonlinearity in time-series, 2. causality between variables, and 3. optimizing combinations of system variables to create "equation-free mechanistic models". I've used this method looking at marine phytoplankton time-series, combining several species and environmental variables. The final product was messy, but helped identify important system variables in ecosystems :)

References:

Online walk-through of the R EDM package [1]!

• Sugihara, George et al. “Detecting Causality in Complex Ecosystems.” Science 338.6106 (2012): 496–500. Web.
  
• Ye, Hao et al. “Equation-Free Mechanistic Ecosystem Forecasting Using Empirical Dynamic Modeling.” Proceedings of the National Academy of Sciences 112.13 (2015): E1569–E1576. Web.
  

Interested Participants:

• Zhiya Zuo. Thanks for this! Is there a desired time/location?

--> No plan for a time/location yet...I'm waiting to see if there is enough interest. I would be happy to do this whenever.

• Kayla Sale
• Jake Weissman
• Ximo Pechuan
• Markus Junginger
• Alicia Kraay
• Kyle Lemoi
• Anand Nair
• Carla Rivera
• Ramona Roller
• Tim Kunisky
• Marco Pangallo
• Hilje Doekes
• Spencer Fox
• Shanee Stopnitzky - I wrote a little condensed version of a tutorial for this package that I can send around
• Shing Zhan
• Katarina Mayer
• Rachel Gicquelais
• Elaine Bochniewicz
• Mark