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Evolutionary Game Theory and Social Learning
Book •
Daniel Saunders describes this textbook as pivotal in his transition from philosophy to applied modelling, praising its treatment of evolutionary game theory and social learning.
He credits the book with sparking interest in Richard McElreath's 'Statistical Rethinking' project and motivating him to learn Bayesian methods.
The text connects theoretical models of cultural evolution to statistical approaches for empirical work.
Saunders used ideas from the book to guide his dissertation and subsequent modeling practice.
Its emphasis on linking causal, theoretical models with statistical inference influenced his adoption of Bayesian workflows.
He credits the book with sparking interest in Richard McElreath's 'Statistical Rethinking' project and motivating him to learn Bayesian methods.
The text connects theoretical models of cultural evolution to statistical approaches for empirical work.
Saunders used ideas from the book to guide his dissertation and subsequent modeling practice.
Its emphasis on linking causal, theoretical models with statistical inference influenced his adoption of Bayesian workflows.
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Daniel Saunders
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#152 A Bayesian decision theory workflow, with Daniel Saunders
