Daniel Redhead

Inferring the causes of animal social network structure from time-series data

This paper introduces a causal Bayesian framework to infer the causes of animal social network structure from continuous-time focal-animal sampling data.

A causal framework for the drivers of animal social network structure

The paper introduces a Bayesian causal framework to infer the drivers of animal social network structure by modeling causal effects of individual, dyad, and group-level features on social interactions.

Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring

This paper develops a Bayesian generative model to analyze animal social networks while accounting for sampling and censoring biases, showing improved performance over existing methods.