Detecting abrupt changes in the presence of local fluctuations and autocorrelated noise G Romano, G Rigaill, V Runge, P Fearnhead Journal of the American Statistical Association 117 (540), 2147-2162, 2022 | 34 | 2022 |
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics G Romano, IA Eckley, P Fearnhead, G Rigaill Journal of Machine Learning Research 24 (81), 1--36, 2023 | 26 | 2023 |
Changes in microbial utilization and fate of soil carbon following the addition of different fractions of anaerobic digestate to soils M Cattin, KT Semple, M Stutter, G Romano, AJ Lag‐Brotons, C Parry, ... European Journal of Soil Science 72 (6), 2398-2413, 2021 | 17 | 2021 |
gfpop: an R package for univariate graph-constrained change-point detection V Runge, TD Hocking, G Romano, F Afghah, P Fearnhead, G Rigaill arXiv preprint arXiv:2002.03646, 2020 | 11 | 2020 |
Online non-parametric changepoint detection with application to monitoring operational performance of network devices E Austin, G Romano, IA Eckley, P Fearnhead Computational Statistics & Data Analysis 177, 107551, 2023 | 7 | 2023 |
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models K Ward, G Romano, I Eckley, P Fearnhead Statistics and Computing 34 (3), 99, 2024 | 3 | 2024 |
A log-linear non-parametric online changepoint detection algorithm based on functional pruning G Romano, IA Eckley, P Fearnhead IEEE Transactions on Signal Processing, 2023 | 1 | 2023 |
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry L Pishchagina, G Romano, P Fearnhead, V Runge, G Rigaill arXiv preprint arXiv:2311.01174, 2023 | 1 | 2023 |
Online non-parametric changepoint detection with application to monitoring operational performance of network devices I Eckley, E Austin, G Romano, IA Eckley, P Fearnhead | | 2023 |
Novel Methods for Efficient Changepoint Detection G Romano PQDT-Global, 2021 | | 2021 |