Paul Marriott

Biography

Dr.Paul Marriott is a professor in the Department of Statistics and Actuarial Science, University of Waterloo, University Avenue West, Waterloo, ON, Canada.

Research Interest

Professor Marriott's research activity is split between theoretical and applied work. One aspect of his work is in the area of theoretical mathematical statistics and looks at ways of applying ideas from geometry (often differential, but also affine, convex and algebraic geometry) to statistical theory. His early work in this area concentrated on the idea of a preferred point geometry. These earlier geometric ideas found fruitful applications in econometrics. Later he introduced the idea of a local mixture that has extremely attractive statistical properties. This form of mixture geometry has applications in areas such as measurement error modelling, modelling censored data, influence analysis, and dispersion modelling. His most recent work looks at computational information geometry which focuses on developing tools which have a geometric foundation but also have a strong computational aspect, so that the theory can be used directly in modelling. In the area of applied stochastic modelling, Professor Marriott has worked on a broad range of applied projects across many subject areas; these include physics, linguistics, medical statistics and neuroscience. Recent work looks at analysis of neural spike train data and EEG data analysis.