Projects per year
Personal profile
Research Interests
- Wavelets and multiscale methods
- Time series: methods and applications
- Changepoint analysis
- Statistics in Business and Finance
Keywords
- Mathematics and Statistics
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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DSI: AI for Scientific Data Streams: Real-time detection of change and anomalous structure
Pein, F. (Co-Investigator), Grose, D. (Co-Investigator), Fearnhead, P. (Co-Investigator), Romano, G. (Co-Investigator) & Eckley, I. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/10/25 → 31/03/26
Project: Research
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DSI: Statistical Methods for Online Detection of Anomalies
Eckley, I. (Principal Investigator)
The Research Council of Norway
1/10/25 → 30/09/29
Project: Research
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DSI:STORi:iCASE: Anomaly detection for complex stream settings
Eckley, I. (Principal Investigator)
1/10/24 → 30/09/28
Project: Research
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DSI: Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)
Fearnhead, P. (Co-Investigator) & Eckley, I. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/09/24 → 31/08/29
Project: Research
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STORi:iCase: Triggered bandits within streaming data settings (Theo Crookes)
Eckley, I. (Co-Investigator) & Grant, J. A. (Principal Investigator)
1/10/23 → 30/09/27
Project: Research
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Periodic review inventory control for an omnichannel retailer with partial lost-sales
Lowery, B., Sachs, A.-L., Eckley, I. A. & Lloyd, L., 9/01/2026, (Accepted/In press) In: European Journal of Operational Research.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
Automatic locally stationary time series forecasting with application to predicting UK gross value added time series
Killick, R., Knight, M. I., Nason, G. P., Nunes, M. A. & Eckley, I. A., 13/01/2025, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 74, 1, p. 18-33 16 p.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes
Agarwal, G., Eckley, I. & Fearnhead, P., 31/12/2025, In: Statistics and Computing. 35, 213.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
mixFOCuS: A Communication‐Efficient Online Changepoint Detection Method in Distributed System for Mixed‐Type Data
Yang, Z., Eckley, I. A. & Fearnhead, P., 9/05/2025, (E-pub ahead of print) In: Journal of Time Series Analysis.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder
Ward, K., Dilillo, G., Eckley, I. & Fearnhead, P., 2/01/2025, In: Journal of the American Statistical Association. 120, 549, p. 34-37 4 p.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access
Datasets
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R code from "Most recent changepoint detection in Panel data"
Bardwell, L. (Creator), Fearnhead, P. (Creator) & Eckley, I. A. (Creator), Lancaster University, 18/01/2018
DOI: 10.17635/lancaster/researchdata/199
Dataset
File -
Datasets for "Divisive clustering of high dimensional data streams"
Hofmeyr, D. (Creator), Pavlidis, N. (Creator) & Eckley, I. (Creator), Lancaster University, 2015
DOI: 10.17635/lancaster/researchdata/21
Dataset
File