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
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