On Monday, December 2 at noon US ET, the Ecological Forecasting Initiative and the ESA Statistical Ecology Section are co-hosting Drs. Jonathan Auerbach (George Mason University) and Lizzie Wolkovich (University of British Columbia) who will present on "Modeling biological processes as stopped random walks with R and Stan".
You can register to join the call at: https://bit.ly/3TAWP3D Many biological processes depend on the accumulation of a specific factor. For example, a flower first blooms in the spring after cumulative temperatures reach a threshold. (This is the widely used growing degree day model). A cumulative sum is a random walk, and thus these processes are examples of a stopped random walk. In this presentation, Dr. Wolkovich will first review examples from phenology in which plant behavior is triggered by accumulations, such as forcing and chilling. Dr. Auerbach will then provide a high-level review of the central limit theorem for stopped random walks. He will then demonstrate how this large-sample approximation can be used to model experimental and observational data in R. Finally, he will discuss how the approximation can fail, and he will demonstrate a non-asymptotic approach that can provide a better fit. Upcoming session topics include: DeepForest python package, Camera Trap Distance Sampling, Computer vision and biodiversity monitoring, and Distance sampling applications in ecology Details about the seminar series and recordings from previous seminars are at: https://ecoforecast.org/workshops/statistical-methods-seminar-series/ -- Jody Peters, PhD *Community Manager* *Ecological Forecasting Initiative, ecoforecast.org <http://ecoforecast.org>, @eco4cast <https://twitter.com/eco4cast>* *PalEON, paleonproject.org <http://paleonproject.org>, @Pal_EON <https://twitter.com/pal_eon?lang=en> * *University of Notre Dame* *Biological Sciences* Galvin 294A Notre Dame, IN 46556 574-631-2175 To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp