Patrick Rubin-Delanchy
Cited by
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Choosing between methods of combining -values
NA Heard, P Rubin-Delanchy
Biometrika 105 (1), 239-246, 2018
Bayesian cluster identification in single-molecule localization microscopy data
P Rubin-Delanchy, GL Burn, J Griffié, DJ Williamson, NA Heard, AP Cope, ...
Nature methods 12 (11), 1072-1076, 2015
A statistical interpretation of spectral embedding: the generalised random dot product graph
P Rubin-Delanchy, J Cape, M Tang, CE Priebe
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
On testing for impropriety of complex-valued Gaussian vectors
AT Walden, P Rubin-Delanchy
IEEE Transactions on Signal Processing 57 (3), 825-834, 2008
A Bayesian cluster analysis method for single-molecule localization microscopy data
J Griffié, M Shannon, CL Bromley, L Boelen, GL Burn, DJ Williamson, ...
Nature Protocols 11 (12), 2499-2514, 2016
3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse
J Griffié, L Shlomovich, DJ Williamson, M Shannon, J Aaron, S Khuon, ...
Scientific reports 7 (1), 4077, 2017
Network-wide anomaly detection via the Dirichlet process
N Heard, P Rubin-Delanchy
2016 IEEE Conference on Intelligence and Security Informatics (ISI), 220-224, 2016
Kinematics of complex-valued time series
P Rubin-Delanchy, AT Walden
IEEE Transactions on Signal Processing 56 (9), 4189-4198, 2008
The multilayer random dot product graph
A Jones, P Rubin-Delanchy
arXiv preprint arXiv:2007.10455, 2020
Filtering automated polling traffic in computer network flow data
N Heard, P Rubin-Delanchy, DJ Lawson
2014 IEEE Joint Intelligence and Security Informatics Conference, 268-271, 2014
Correction of multiple-blinking artifacts in photoactivated localization microscopy
LG Jensen, TY Hoh, DJ Williamson, J Griffié, D Sage, P Rubin-Delanchy, ...
Nature Methods 19 (5), 594-602, 2022
Manifold structure in graph embeddings
P Rubin-Delanchy
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Spectral embedding for dynamic networks with stability guarantees
I Gallagher, A Jones, P Rubin-Delanchy
Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021
Dynamic Bayesian cluster analysis of live‐cell single molecule localization microscopy datasets
J Griffié, GL Burn, DJ Williamson, R Peters, P Rubin‐Delanchy, DM Owen
Small Methods 2 (9), 1800008, 2018
Meta-analysis of mid-p-values: some new results based on the convex order
P Rubin-Delanchy, NA Heard, DJ Lawson
Journal of the American Statistical Association, 2018
Simulation of improper complex-valued sequences
P Rubin-Delanchy, AT Walden
IEEE transactions on signal processing 55 (11), 5517-5521, 2007
Spectral embedding of weighted graphs
I Gallagher, A Jones, A Bertiger, C Priebe, P Rubin-Delanchy
Journal of the American Statistical Association, 2023
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
FS Passino, NA Heard, P Rubin-Delanchy
Technometrics 64 (3), 346-357, 2022
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
A Modell, P Rubin-Delanchy
arXiv preprint arXiv:2105.00987, 2021
Consistency of adjacency spectral embedding for the mixed membership stochastic blockmodel
P Rubin-Delanchy, CE Priebe, M Tang
arXiv preprint arXiv:1705.04518, 2017
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