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)
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Linear models (LMs)
- Raine Detmer, Ruby Harris-Gavin and Devin Gamble
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Generalized Linear Models (GLMs)
- Ana Miller-Ter Kuile & Tatum Katz
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Model selection with AIC
- An Bui & Ana Sofía Guerra
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Generalized Additive Models (GAMs)
- Erin Winslow & Natalie Love
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Linear Mixed Models (LMMs)
- Mallory Rice & Robert Fitch
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Generalized Linear Mixed Models (GLMMs)
- Sam Sambado & Zoe Zilz
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Generalized Additive Mixed Models (GAMMs)
- Krista Kraskura & Terra Dressler
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Generalized Least Squares (GLS)
- Jasmine Childress & Jacob Weverka
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Generalized Dissimilarity Models (GDMs)
- Austen Apigo & Sophia Arabadjis
Sources:
- Kyle Edwards Lecture Notes: https://sites.google.com/site/kyleedwardsresearch/lecture-notes
- Zurr et al: Mixed Effects Models and Extensions in Ecology with R
- Bolker: Ecological Models and Data in R