165 citations · 180 across the 5 of their papers we have counts for
3 papers · 1 filter
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
Alexander Modell, Patrick Rubin-Delanchy
This paper shows that graph spectral embedding using the random walk Laplacian produces vector representations which are completely corrected for node degree. Under a generalised r…
Choosing Between Methods of Combining p-values
Nicholas Heard, Patrick Rubin-Delanchy
Combining p-values from independent statistical tests is a popular approach to meta-analysis, particularly when the data underlying the tests are either no longer available or are…
Consistency of adjacency spectral embedding for the mixed membership stochastic blockmodel
Patrick Rubin-Delanchy, Carey E. Priebe, Minh Tang
The mixed membership stochastic blockmodel is a statistical model for a graph, which extends the stochastic blockmodel by allowing every node to randomly choose a different communi…