4 papers
Profile monitoring of random functions with Gaussian process basis expansions
Takayuki Iguchi, Jonathan R. Stewart, Eric Chicken
We consider the problem of online profile monitoring of random functions that admit basis expansions possessing random coefficients for the purpose of out-of-control state detectio…
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
Jonathan R. Stewart
One of the first steps in applications of statistical network analysis is frequently to produce summary charts of important features of the network. Many of these features take the…
Rates of convergence and normal approximations for estimators of local dependence random graph models
Jonathan R. Stewart
Local dependence random graph models are a class of block models for network data which allow for dependence among edges under a local dependence assumption defined around the bloc…
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…