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20th April 2023
09:00 to 09:30 Arrival, Breakfast and Registration
09:30 to 09:35 Welcome Idris Eckley (Lancaster University)
Session 1:  
09:35 to 10:05 Recent Advance in High-dimensional Changepoint Problems Richard Samworth (University of Cambridge)
10:05 to 10:30 Changepoint Modelling in Spatio-temporal Processes with Application to Ireland Wind Data Gaurav Agarwal (Lancaster University)
10:30 to 11:00 Network Anomaly Detection Trevor Burbridge (BT)
11:00 to 11:30 Tea and Coffee Break
11:30 to 11:55 High-Dimensional Time Series Segmentation Via Factor-Adjusted Vector Autoregressive Modelling Hyeyoung Maeng (Durham University)
11:55 to 12:30 Efficient Online Detection of Changes in Data Streams: The FOCuS Algorithm Paul Fearnhead (Lancaster University)
Giuseppe Dilillo (National Institute for Astrophysics)
12:30 to 13:30 Lunch
Session 2:   
13:30 to 13:55 Change Point Detection for Condition Monitoring Jarno Hartog (Shell)
13:55 to 14:20 Conditional Independence Testing with Applications to Causal Inference Rajen Shah (University of Cambridge)
14:20 to 14:45 Crew Health and Performance Data Analysis Using Change Detection Techniques Kyoung Jae Kim (NASA Johnson Space Center), (KBR)
14:45 to 15:15 Tea and Coffee break
15:15 to 15:45 High-Dimensional Online Changepoint Detection Yudong Chen (London School of Economics)
15:45 to 16:00 Discussion & Wrap-up Idris Eckley (Lancaster University)
16:00 Plenary and Finish