Rebecca Killick - Tackling Global Issues: Change
|Starts:||14:00 3 Nov 2021|
|Ends:||15:00 3 Nov 2021|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
|Who is it for:||University staff, External researchers, Current University students|
Rebecca Killick, Senior Lecturer in Statistics at the Department of Mathematics and Statistics at the Lancaster University is our speaker for the Statistics seminar series.
Title: Tackling Global Issues: Change
Abstract: Traditional statistical model building assumes that the same model (and fitted parameters) can describe the data at any point in the observed process. To tackle early violations to this statisticians introduced regressors to describe time-varying features such as trend and seasonality. These have enabled model building to become engrained in everyday applications across all fields. But what happens when this neat assumption of a static model is no longer appropriate? The simplest departure from this static model assumption is to piece together static models, which we understand well. Questions then surface around where and how many of these static models should we use? This field of statistical modelling is called changepoint detection. This talk will give a potted history of the challenges in changepoint detection that I have been preoccupied with over the last ten or so years. Always motivated by applications of changepoint detection to real-world problems, the tour of statistical challenges will be littered with applications to different areas including environment, health and business. To conclude the talk I will describe some of the existing challenges that must be addressed by the community if changepoint detection is going to remain relevant to the world.
Organisation: Lancaster University
Travel and Contact Information
Zoom link: https://zoom.us/j/92947173491