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Statistical Rethinking - Social Networks

Richard McElreath via YouTube

Overview

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This course applies Bayesian statistical reasoning to social networks, covering network analysis, reciprocal ties, generalized giving, posterior networks, household and dyad features, and network structures such as triangles and blocks.

Syllabus

Introduction
Sharing and networks
Analyzing networks
Reciprocal ties
Generalized giving
Posterior social networks
Household and dyad features
Triangles and blocks
Summary and outlook

Taught by

Richard McElreath

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