About
Dr. Gaetano Romano is a Lecturer in Statistics at Lancaster University's School of Mathematical Sciences. He contributes to the Data Science Institute and Security Lancaster research groups, focusing on changepoint detection, time series analysis, and secure machine learning.
Research Interests
- Online changepoint detection for exponential family models
- Log-linear non-parametric algorithms with functional pruning
- Applications in network security and environmental science
Recent Publications
- 2024: Constant-per-iteration likelihood ratio tests
- 2024: Log-linear non-parametric functional pruning algorithms
- 2023: Multivariate changepoint detection via computational geometry
- 2023: R package for graph-constrained detection
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