Explore a comprehensive lecture on statistical models and their application in linking data to theory in this 1 hour 23 minute session from the Serrapilheira/ICTP-SAIFR Training Program in Quantitative Ecology. Delve into topics such as geometric models, differential equation integrators, and Gaussian processes. Learn about practical examples including the Gulf example and Pacific island colonization. Discover various tools and techniques for data analysis, including regression models, dynamic models, and covariance calculations. Gain insights from expert lecturers in the field of quantitative ecology, including Diogo Melo from Princeton University. Enhance your understanding of statistical modeling and its role in bridging the gap between theoretical concepts and real-world ecological data.
Overview
Syllabus
Introduction
General topic
Gulf example
Geometric model
Differential equation integrators
Integrating differential equations
Pacific island colonization
Tools
Data set
Regression model
Dynamic model
Gaussian process
Expected covariance
Full model
Covariance
Rethinking
Taught by
ICTP-SAIFR
Related Courses
-
Statistical Models: Linking Data to Theory - Class 10
-
Statistical Models: Linking Data to Theory - Class 9
-
Statistical Models: Linking Data to Theory - Class 6
-
Statistical Models: Linking Data to Theory - Class 8
-
Statistical Models: Linking Data to Theory - Class 5
-
Statistical Models: Linking Data to Theory - Class 12
