Dear colleagues,

registrations are open for the 2nd edition of the online course on
Ecological Time Series Analysis and Forecasting in R, scheduled from May
27th to 31st, 2024. Classes will be held from 9 AM to 12 PM Berlin time,
with additional self-guided practical sessions using annotated R scripts.

Course website:
https://www.physalia-courses.org/courses-workshops/time-series-in-r/

In this course, we will delve into dynamic processes using Bayesian
modeling software, Stan, along with packages like {mvgam} and {brms}
to build ecologically appropriate models. You will learn to wrangle,
visualize, and explore ecological time series data, enabling you to
produce accurate forecasts.

By the end of this course, you will: 1. Understand dynamic GLMs and GAMs
for capturing nonlinear effects and temporal dependence.  2. Fit dynamic
models using {mvgam} and {brms} packages in R.  3. Critically evaluate
and compare fitted dynamic models.  4. Produce accurate forecasts and
assess their performance using probabilistic scoring rules.

For the full list of our courses and workshops, please visit: (
https://www.physalia-courses.org/courses-workshops/ )

Best regards, Carlo

Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846

"info@physalia-courses.org" <info@physalia-courses.org>

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