Change-point detection for graphical models in the presence of missing values

Malte Londschien, Solt Kovács, Peter Bühlmann (2021) Journal of Computational and Graphical Statistics, 30(3), 768–779.

High-dimensional changepoint estimation with heterogeneous missingness

Bertille Follain, Tengyao Wang, Richard J. Samworth (2022) Journal of the Royal Statistical Society Series B: Statistical Methodology, 84(3), 1023–1055

High dimensional change point estimation via sparse projection

Tengyao Wang, Richard J. Samworth (2018) Journal of the Royal Statistical Society Series B: Statistical Methodology, 80(1), 57–83

Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring

Martin Tveten, Idris A. Eckley, Paul Fearnhead (2022) The Annals of Applied Statistics, 16(2), 721-743

Deep Learning for Anomaly Detection: A Review

Guansong Pang, Chunhua Shen, Longbing Cao, Anton Van Den Hengel (2021) ACM Computing Surveys (CSUR), 54(2), 1-38

High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling

Haeran Cho, Hyeyoung Maeng, Idris A. Eckley, Paul Fearnhead (2023) Journal of the American Statistical Association, 119(547), 2038–2050

On-Line Inference for Multiple Changepoint Problems

Paul Fearnhead, Zhen Liu (2007) Journal of the Royal Statistical Society Series B: Statistical Methodology, 69(4), 589–605

Tests for change-points with epidemic alternatives

Qiwei Yao (1993) Biometrika, 80(1), 179–191

A novel change-point approach for the detection of gas emission sources using remotely contained concentration data

Idris Eckley, Claudia Kirch, Silke Weber (2020) The Annals of Applied Statistics, 14(3), 1258-1284