Date: 2026-01-23

Time: 15:30-16:30 (Montreal time)

Location: In person, Burnside 1104

https://mcgill.zoom.us/j/82195728045

Meeting ID: 821 9572 8045

Passcode: None

Abstract:

The analysis of extreme wave surge heights in Atlantic Canada is key in determining areas that are subject to flooding or at risk of severe damage from intense storms. One method for modelling extreme events is through the block maxima approach which divides a series of observations into equal-sized blocks to extract the maxima after which inference is conducted on the generalized extreme value (GEV) distribution. When observations at the series level are missing, the observed block maxima may not correspond to the true block maxima. In this presentation, we introduce this missing data problem in the context of an extreme value analysis and explain how concepts from survival analysis can be used to improve inferences on the GEV distribution using the observed block maxima.

Speaker

James McVittie is an Assistant Professor in the Department of Mathematics and Statistics at the University of Regina. He completed his Master’s and PhD degrees in Mathematics and Statistics at McGill University under the supervision of Professors David A. Stephens and David B. Wolfson, in July 2017 and October 2021, respectively. His research interests include survival analysis, missing data problems, combined cohort methodologies, and biostatistics.