Statistics Across Campuses

  18 August, 4 PM AET Luke Yates Postdoctoral Research Fellow, University of Tasmania Hybrid:   Anita B. Lawrence Centre 4082 Zoom link:   https://unsw.zoom.us/j/88495626621 Title: New tools for time series analysis of 'omics' data Abstract: It is peak hour in downtown Transcriptome, where millions of messenger RNA are en route from their local DNA carrying important instructions for protein synthesis and other civic services. A typical transcriptomics (RNA-seq) data set is a snapshot of this busy scene, comprising a sample of extracts of these instruction sequences. A key goal in molecular biology is to determine which sequences (i.e., sets of transcripts or genes) change their expression in response to different treatment conditions to discover molecular mechanisms for biological traits. In this talk, I will give a brief background on the sampling, technical, and statistical processes involved in generating such data sets before focusing on new and existing methods for...

  Friday 2 June, 4 PM Social to follow, 5 - 6 PM Scott Hottovy, Associate Professor of Mathematics, United States Naval Academy Hybrid: Red Centre 4082 https://unsw.zoom.us/j/88495626621 “Convergence of Rain Process Models” Abstract:  Representing rain in global climate models continues to be a challenge. Currently, models generally rain too often and too little. Additionally, the models have trouble capturing variability in rain data. One possible solution to increasing variability in a model is to use a stochastic process. A variety of stochastic models have been used to describe time series of precipitation or rainfall. Since many of these stochastic models are simplistic, it is desirable to develop connections between the stochastic models and the underlying physics of rain. In this talk, I will describe simple models of rain in a single column model as a stochastic differential equation (SDE) with a switch. The inclusion of this switch leads to a model with hysteres...

  Friday 5 May, 4 PM AET Doan Khue Dung (KD) Dang, Lecturer, School of Mathematics and Statistics, University of Melbourne Virtual Zoom link: https://unsw.zoom.us/j/88495626621 “Bayesian structural equation modelling: methods and applications.” Abstract: Structural equation models (SEMs) are commonly used in social and behavioural sciences to study the structural relationships between observed variables and latent constructs or unobserved variables. Recently, Bayesian fitting procedures for SEMs have received more attention, as they overcome the issues of frequentist approaches when the number of observations is small and facilitate the adoption of more flexible model structures. In this talk, I will present an application of Bayesian SEMs in analysing the nature of the dose-response relation between prenatal alcohol exposure and child cognition, based on data from multiple cohorts. I will then introduce a framework for fitting Bayesian SEMs via variational approximations, th...

  April schedule Friday 14 April, 4 PM Anna Aksamit, Senior Lecturer, School of Mathematics and Statistics, University of Sydney Hybrid: Red Centre 4082 https://unsw.zoom.us/j/88495626621 “Modelling an additional information: mathematical tools and financial applications” Abstract:  In this talk I will discuss the theory of enlargement of filtration which has been used in modelling asymmetric information. I will review classical results and present some new development with financial applications. My main focus will be semimartingales calculus in different filtrations. Friday 21 April, 4 PM Michael Lydeamore, Lecturer, Econometrics & Business Statistics, Monash University Virtual https://unsw.zoom.us/j/88495626621 “Data-Driven Insights into Healthcare Challenges: Two Case Studies” Abstract: In this seminar, I will present two data-driven healthcare projects. The first project aims to calculate the burden of healthcare-acquired infections in Australia. We con...

March Schedule Friday 3 March, 4 PM AET Roman Gauriot, Senior Lecturer in Economics, Deakin University Virtual Zoom link:   https://unsw.zoom.us/j/88495626621 “How Market Prices React to Information: Evidence from Binary Options Markets”