Previous Seminars

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A whirlwind tour of recent advances in changepoints

It is increasingly recognised that modern time series are not stationary. A simple departure from a stationarity assumption is a piecewise stationarity...

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Sub-quadratic search for significant correlations

Randomized algorithms have been very helpful for data reduction, with successful applications in log analysis and dimensionality reduction for machine learning. These techniques have more recently...

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Probing the nature of the universe with big data at the ATLAS experiment

Abstract: The Large Hadron Collider is the most powerful particle accelerator ever built, allowing us to study the first nanoseconds of the lifetime of the universe to unprecedented precision. This ac

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Using statistical emulators in the evaluation and constraint of uncertainty in a global aerosol model

Aerosols, tiny particles in the atmosphere from natural and pollution sources, affect the amount of radiation reflected back into space both directly and by affecting the reflective properties of...

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