2 papers
stat.ME2025
Generalized Bayesian Inference for Dynamic Random Dot Product Graphs
Joshua Daniel Loyal
The random dot product graph is a popular model for network data with extensions that accommodate dynamic (time-varying) networks. However, two significant deficiencies exist in th…
stat.ME2024
A Latent Space Approach to Inferring Distance-Dependent Reciprocity in Directed Networks
Joshua Daniel Loyal, Xiangyu Wu, Jonathan R. Stewart
Reciprocity, or the stochastic tendency for actors to form mutual relationships, is an essential characteristic of directed network data. Existing latent space approaches to modeli…