Graduate workshop on Bayesian multilevel regression models

Ellis, Andrew (2021). Graduate workshop on Bayesian multilevel regression models. [Software & Other Digital Items] 10.5281/zenodo.6403232

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This workshop will focus on hierarchical (multilevel) regression models from various angles. We will spend a lot of time learning to understand and specify these types of models. However, we will focus mainly on learning how to implement and work with these models, rather than spending time looking at the formal math. Here, I will follow the approach taken by McElreath (2020), who emphasises that even mathematicians may have trouble understanding something until they see a working algorithm.

Therefore, this workshop will be very hands-on. Everything we do will be illustrated with working code examples, and you are encouraged to try every single line of code for yourself.

Item Type:

Software & Other Digital Items

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Cognitive Psychology, Perception and Methodology

Graduate School:

Swiss Graduate School for Cognition, Learning and Memory (SGS-CLM)

UniBE Contributor:

Ellis, Andrew

Subjects:

100 Philosophy > 150 Psychology

Publisher:

Zenodo

Language:

English

Submitter:

Andrew William Ellis

Date Deposited:

07 Jun 2022 09:54

Last Modified:

05 Dec 2022 16:18

Publisher DOI:

10.5281/zenodo.6403232

Related URLs:

BORIS DOI:

10.48350/168832

URI:

https://boris.unibe.ch/id/eprint/168832

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