references.bib

@article{romano2024,
	title = {A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning},
	author = {Romano, Gaetano and Eckley, Idris A. and Fearnhead, Paul},
	year = {2024},
	date = {2024},
	journal = {IEEE Transactions on Signal Processing},
	pages = {594--606},
	volume = {72},
	doi = {10.1109/tsp.2023.3343550},
	url = {http://dx.doi.org/10.1109/TSP.2023.3343550}
}

@article{ward2024constant,
  title={A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models},
  author={Ward, Kes and Romano, Gaetano and Eckley, Idris and Fearnhead, Paul},
  journal={Statistics and Computing},
  volume={34},
  number={3},
  pages={1--11},
  year={2024},
  publisher={Springer}
}

@article{romano2023fast,
  title={Fast online changepoint detection via functional pruning CUSUM statistics},
  author={Romano, Gaetano and Eckley, Idris A and Fearnhead, Paul and Rigaill, Guillem},
  journal={Journal of Machine Learning Research},
  volume={24},
  number={81},
  pages={1--36},
  year={2023},
  url = {https://www.jmlr.org/papers/v24/21-1230.html}
}

@article{pishchagina2023online,
  title={Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry},
  author={Pishchagina, Liudmila and Romano, Gaetano and Fearnhead, Paul and Runge, Vincent and Rigaill, Guillem},
  journal={arXiv preprint arXiv:2311.01174},
  year={2023}
}

@article{austin2023online,
  title={Online non-parametric changepoint detection with application to monitoring operational performance of network devices},
  author={Austin, Edward and Romano, Gaetano and Eckley, Idris A and Fearnhead, Paul},
  journal={Computational Statistics \& Data Analysis},
  volume={177},
  pages={107551},
  year={2023},
  publisher={Elsevier}
}