84 citations · 181 across the 11 of their papers we have counts for
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stat.ME2021
Approximate Conditional Sampling for Pattern Detection in Weighted Networks
James A. Scott, Axel Gandy
Assessing the statistical significance of network patterns is crucial for understanding whether such patterns indicate the presence of interesting network phenomena, or whether the…
stat.ME2018
State-Dependent Kernel Selection for Conditional Sampling of Graphs
James Scott, Axel Gandy
This paper introduces new efficient algorithms for two problems: sampling conditional on vertex degrees in unweighted graphs, and sampling conditional on vertex strengths in weight…
stat.ME2018
Tree-based Particle Smoothing Algorithms in a Hidden Markov Model
Dong Ding, Axel Gandy
We provide a new strategy built on the divide-and-conquer approach by Lindsten et al. (2017) to investigate the smoothing problem in a hidden Markov model. We employ this approach…