BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20250122T113738Z
DTSTART:20241211T144500Z
DTEND:20241211T153000Z
SUMMARY:Statistics Seminar - Periodogram regression\, a two stage mixed e
 ffects approach for modelling multiple integer-valued time series of tro
 pical cyclone frequency
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}t1gc-m67tt1
 ts-taradq
DESCRIPTION:Abstract\nTropical cyclones (TC) are significant indicators o
 f evolving climate dynamics. Two primary responses of interest are the c
 yclone frequency and intensity. In this paper we propose a novel integra
 ted modelling framework for simultaneous modelling of TC frequency acros
 s several meteorological regions within Australasia. The key methodologi
 cal insight is to model the second order properties of multiple integer 
 valued time series in frequency domain\, instead of parametric time doma
 in models. We take a two-stage semi parametric approach where large scal
 e environmental variation is modelled using generalized linear models wh
 ile the stochastic variation — including spatial heterogeneity — is esti
 mated using spectral analysis of time series\, under a hierarchical gene
 rating model. Using longitudinal data analysis we are able to jointly mo
 del periodicities in TC frequencies and their correlation with El Nino–S
 outhern Oscillation (ENSO) cycles but also the spatial variation between
  regions
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Frank Adams 2\, Alan Turing Building\, Manchester
END:VEVENT
END:VCALENDAR