1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
stat.ME2023
A Spike-and-Slab Prior for Dimension Selection in Generalized Linear Network Eigenmodels
Joshua Daniel Loyal, Yuguo Chen
Latent space models (LSMs) are frequently used to model network data by embedding a network's nodes into a low-dimensional latent space; however, choosing the dimension of this spa…