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Changepoints and Time Series

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Time series, i.e. data measured over time, arise in many natural and industrial applications.  Examples of such series include historical environmental measurements, financial indicators, and physiological or biological processes.  These series are often high-dimensional in nature and exhibit complex temporal characteristics.  Being able to analyse the changing structure of such data is key to understanding the dynamics of many important physical processes.

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