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SSA QLD Branch Meeting: Regressing the periodogram

  • 11 May 2022
  • 3:00 PM - 5:00 PM
  • Online - Zoom


Registration is closed

Please join us online for the May Queensland Branch Meeting, on the 11th of May. The seminar will start at 3:00pm, with a branch meeting starting at 4:00pm. Please find details for the seminar below.

When: 15:00 PM - 16:00 PM (AEST), Wednesday 11th May 2022

Location: Online – Zoom (link will be sent with registration)

Please note that the seminar will be recorded and might be put on YouTube or similar platform.

Title: Regressing the periodogram: automatic and model based learnings from natural events, landslide and cyclones.


Natural hazards affect millions of people around the world by impacting livelihood and economies. Communities in the tropics are routinely at risk of various climatic extremities. In an evolving climate regime the need for novel methods for monitoring these events are prescient. In this presentation we will consider two natural spatio-temporal events that are statistically non-stationary. The first one is that of landslides which are characterised by ground deformations along slopes. We propose an ensemble methodology – an algorithm – to monitor a Landslide using its second order statistical properties. Our method contributes to the literature of machine based algorithms than can account for stochastic variation. Our research was motivated by a disastrous tailings Dam collapse in Brazil. The second one is that of modelling tropical cyclone frequencies in the Australasian region and are a key indicator for monitoring climate dynamics. We propose a two stage semi-parametric frequentist modelling approach that can be applied across a range of spatio-temporal events. 

Presenter Dr. Sourav Das

Sourav is an applied statistician and a Lecturer in Statistics and Data Science at the James Cook University, based in Cairns. His primary research interests are in modelling natural processes that evolve over space and time – disease incidence, neurological signals, landslides, floods and earthquakes. Sourav obtained his PhD in Statistics (2011) from the University of Manchester and followed it with Post Docs at the National University of Singapore and the University of Bristol.

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