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20202025
most citedFast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines

1 citations · 1 across the 7 of their papers we have counts for

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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…

stat.ME2024★ 1 cited

Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines

Joshua Daniel Loyal

Latent space models (LSMs) are often used to analyze dynamic (time-varying) networks that evolve in continuous time. Existing approaches to Bayesian inference for these models rely…