Statistics Seminar on Generalized, Linear, Additive and Mixed Models by EEMB Grads at UCSB (2020)

GLAMM-Generalized-Linear-Additive-Mixed-Models

Statistics Seminar on Generalized, Linear, Additive and Mixed Models by graduate students in the Department of Ecology, Evolution and Marine Biology & Department of Geography at the University of California, Santa Barbara (Summer 2020)

1. Linear models (LMs)

   • Raine Detmer, Ruby Harris-Gavin and Devin Gamble

2. Generalized Linear Models (GLMs)

   • Ana Miller-Ter Kuile & Tatum Katz

3. Model selection with AIC

   • An Bui & Ana Sofía Guerra

4. Generalized Additive Models (GAMs)

   • Erin Winslow & Natalie Love

5. Linear Mixed Models (LMMs)

   • Mallory Rice & Robert Fitch

6. Generalized Linear Mixed Models (GLMMs)

   • Sam Sambado & Zoe Zilz

7. Generalized Additive Mixed Models (GAMMs)

   • Krista Kraskura & Terra Dressler

8. Generalized Least Squares (GLS)

   • Jasmine Childress & Jacob Weverka

9. Generalized Dissimilarity Models (GDMs)

   • Austen Apigo & Sophia Arabadjis

Sources:

1. Kyle Edwards Lecture Notes: https://sites.google.com/site/kyleedwardsresearch/lecture-notes
2. Zurr et al: Mixed Effects Models and Extensions in Ecology with R
3. Bolker: Ecological Models and Data in R