Statistics Across Campuses: John Nichols -- The use of fast Fourrier transforms and generalised Poissonian distribution to study COVID deaths

The use of Fast Fourier Transforms and Generalized Poissonian distribution to study
COVID Deaths 

Date: 22 May 2020, Friday 

Time: 3 pm 

Speaker: A/Prof John Nichols (Texas A&M University) 

Abstract: 

The COVID Fatality data is often grouped into subsets that represent political
boundaries, if these political boundaries represent unique compact urban areas fully
contained in the urban sense then the application of the SEIR model appears to be
somewhat applicable, but, if this is not the case, the assumptions that are made for the
SEIR model may result in a poor predictive model.  The use of Fast Fourier transforms of
the residual data from an exponential regression analysis provides a method to estimate
the frequency response of the residuals, which can be used to review the SEIR modelling
of the urban area.  The second method is a GPD analysis of the daily ratio of the
fatalities to the prior day, which may prove to be a method to determine unique
compactness.  Examples using NY and Texas will be used.  

Link: https://macquarie.zoom.us/j/98383342057