Seminar: Statistical modelling and estimation of physical phenomena in ocean surface trajectories

SpeakerAdam Sykulski
DateFriday, 22 Jun 2012
Time12:30 - 14:00
LocationDarwin B15 Biochemistry LT
Event seriesDeepMind CSML Seminar Series

We have a large data set from 10,000 or so floating devices which drift around the Earth's oceans. Summarising these 'ocean surface trajectories’ is best done using time series analysis. In this talk we provide a general introduction to time series analysis, with a focus on complex-valued time series and spectral domain analysis - which is particularly useful for ocean data (and indeed many other applications). We then construct a semi-parametric statistical model for ocean surface trajectories which is composed of a combination of stochastic processes. We demonstrate the usefulness of our model in terms of detecting and summarising changes in the behaviour of the data - which helps the oceanographers understand how the movement of oceans change over time and space.

Slides for the talk: PDF

iCalendar csml_id_69.ics