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Dr Todd Pataky, Visiting William Evans Fellow, Department of Bioengineering -- Shinshu University, Japan


Computational aspects of continuum statistics


Owheo 106 - 1:00 pm, Friday 28 February


In many fields of science the unit of experimental observation is a smooth scalar or vector continuum. Examples include: 1D time series, 2D images of the cosmos, and 3D functional brain image time series. Traditional analyses artificially discretize these continua and extract regional scalar/vector summary metrics, but this approach is often ad hoc and is rarely objective. In contrast, continuum statistics regard the measured continuum as non-simplifiable, and conduct hypothesis testing directly on a set of registered continuum observations, using a Random Field Theory (RFT) correction for multiple comparisons to retain a Type I error rate of alpha at the continuum level. This seminar will provide an overview of RFT and some of its common applications, with particular focus on the computations underlying RFT-based statistical inference, to emphasize how RFT can efficiently yet powerfully identify arbitrary n-dimensional continuum signals.

Last modified: Tuesday, 25-Feb-2014 10:52:38 NZDT

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