Dear all,
there are only a few seats available for the Physalia upcoming online course, "Time Series Analysis and Forecasting in R" scheduled for 24-28 March (09:00 - 12:00 (Berlin time)).
This course focuses on Bayesian methods with {mvgam} and {brms} to tackle the complexity of ecological time series?accounting for overdispersion, clustering, missing data, and nonlinear effects.
Course website: [ https://www.physalia-courses.org/courses-workshops/time-series-in-r/ ]( https://www.physalia-courses.org/courses-workshops/time-series-in-r/ )
What You'll Learn:
1. Understand how dynamic GLMs and GAMs work to capture both nonlinear covariate effects and temporal dependence
2. Be able to fit dynamic GLMs and GAMs in R using the {mvgam} and {brms} packages
3. Understand how to critique, visualize and compare fitted dynamic models
4. Know how to produce forecasts from dynamic models and evaluate their accuracies using probabilistic scoring rules
Best regards,Carlo
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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info at physalia-courses.org
mobile: +49 17645230846
Online Course: Time Series Analysis & Forecasting in R (24-28 March)
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