Event Details

Workshop on contemporary challenges in changepoint detection hosted by STOR-i and the School of Mathematical Sciences at Lancaster University.

About the Workshop

This workshop will bring together researchers working at the forefront of changepoint detection and its applications. The focus will be on recent advances in changepoint and anomaly detection, including online detection, non-parametric approaches, and applications. The event will include keynote talks and contributed talks, and plenty of time for interaction.

Programme

Wednesday 15 April

12:15-12:30 Registration (can also register during lunch)

12:30-13:30 Lunch

13:30-14:45 Session 1:

• Chao Zhang: Optimal Spatial Anomaly Detection: Theory and Applications
• Theo Crookes: Contextual Multi-Armed Bandits for Multiclass Anomaly Classification

14:45-15:15 Refreshment break

15:15-16:30 Session 2:

• Vincent Runge: Exact Multiple Change-Point Detection Via Smallest Valid Partitioning
• Rebecca Killick: Forecasting Seasonal Changepoint Models Utilizing Changepoint Uncertainties

16:30-17:00 Refreshment break

17:00-18:30 Session 3:

• Israel Martinez-Hernandez: Changepoint Model for Hawkes Process: Human Activity Data
• Martina Boschi: Inferring Anomalies in Financial Relational Processes
• Yuntang Fan: Online Changepoint Detection for AR(p) Noise

19:30 Dinner at The Lounge

Thursday 16 April

09:00-10:30 Session 4:

• Euan McGonnigle: General Purpose Time Series Segmentation Using Estimating Functions
• Caixia Xu: Detecting Structural Breaks in High-Dimensional Functional Time Series Factor Models

10:30-11:00 Refreshment break

11:00-12:00 Session 5:

• Laura Baracaldo: A Bayesian Approach to Detecting Amazon Tree Mortality
• Francesco Sanna-Passino: Online Bayesian Changepoint Detection for Network Poisson Processes with Community Structure

12:00-13:00 Lunch

13:00-14:30 Session 6:

• Guillem Rigaill: Multiple Changepoints in Trees
• Lorenzo Cappello: Computationally Efficient Segmentation for Non-stationary Time Series with Oscillatory Patterns

14:30-15:00 Refreshment break

15:00-16:30 Session 7:

• Lorenzo Rimella: Changepoint Detection for Compartmental Models in Epidemiology
• Mengyi Gong: Inferring Soil Drydown Dynamics with Changepoint Analysis

Venue

The workshop will be held at Lancaster University, a world-renowned institution known for its excellence in research and teaching. Lancaster, nestled in the heart of Northwest England, is a vibrant city that blends rich history with modern charm. It offers a perfect mix of culture, heritage, and scenic beauty, with a thriving arts scene, cozy cafes, and easy access to the breathtaking Lake District. Lancaster is well-connected by road, rail, and air. The city is served by Lancaster Railway Station, with frequent direct trains to London (around 2.5 hours), Manchester, Glasgow, and other major cities. For air travel, Manchester Airport is the closest major international hub, about an hour away by train or car.

Accommodation

A range of accommodation options is available at and near the university, including on-campus housing and local hotels. For more information, please visit the following links.

On-campus Guest Rooms

Lancaster House Hotel (on campus)