This month’s Stats Society NSW talk is this evening (Tuesday 18 October) at UTS and is on multivariate space-time modelling with environmental applications. Details are below, all are welcome, refreshments are served from 6pm. Michael === Time: 6:00pm - 6:30pm: Refreshments 6:30pm - 7:30pm: Lecture 7:45pm onwards: Dinner (at a nearby restaurant) Venue: CB07.03.010B G. Level 3, University of Technology, Sydney - Building 7, 638 Jones Street, Ultimo, NSW 2007 Dr Andrew Zammit Mangion NIASRA, University of Wollongong, Australia Answering important questions about the environment using multivariate space-time modelling The natural environment is made up of systems that vary in both space and time and that interact with one another in complicated ways. Frequently, the analysis of just one physical phenomenon, in isolation of the others, is insufficient to answer important questions about the environment such as âWhat is the cause for the net observed increase in Carbon Dioxide?â In this talk I will outline the principles behind the statistical theory of multivariate space-time modelling, and proceed with discussing its use in two important applications. The first will consider the assessment of Antarctica’s contribution to sea-level rise in the past decade using satellite data. The second will consider the problem of localising methane sources in the UK from ground station data. Practical implementations and modelling assumptions will be discussed, while a distributed computation algorithm used to render the inference tractable highlighted. This is joint work between the University of Wollongong, Australia, and the University of Bristol, UK. Biography of Dr Andrew Zammit Mangion Andrew Zammit Mangion is a Senior Research Fellow in the National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong, Australia. He obtained his PhD in 2012 from the University of Sheffield, UK, on approximate inference for spatio-temporal models, and has subsequently applied his work in several contexts within the social and environmental sciences. In 2013 Andrew was awarded a National Academy of Sciences prize for his work on the modelling and prediction of armed conflicts.