Bayesian Modelling and Analysis of Challenging Data
Kerrie Mengersen (Queensland University of Technology, Australia)
Abstract: PCM-2019-20
www.isibang.ac.in/~statmath/pcm2019/
Professor Kerrie Mengersen Science and Engineering Faculty, School of Mathematical Sciences Queensland University of Technology (QUT) (https://staff.qut.edu.au/staff/k.mengersen)
will deliver the P.C. Mahalanobis Memorial Lectures 2019-20 on
Bayesian Modelling and Analysis of Challenging Data
Date: January 27th, 2021 Time: 11:00-11:45am
Lecture 1: Bayesian Modelling and Analysis of Challenging Data Identifying the Intrinsic Dimension of High-Dimensional Data
Abstract: One of the challenges of high-dimensional data is identifying the true information contained therein. In this presentation, I will describe some approaches that we have developed to address this challenge. These approaches include Bayesian methods of matrix factorisation, intrinsic dimension and structured variable selection. This discussion will be set in the context of substantive case studies in image analysis, sport and genomics.
Date: January 27th, 2021 Time: 12:00-12:45pm
Lecture 2: Bayesian Modelling and Analysis of Challenging Data Finding Patterns in Highly Structured Spatio-Temporal Data
Abstract: Many forms of current data are indexed by space and/or time. Often these space-time relationships are highly structured. Examples include data collected across networks of streams, multi-state data collected over time, and multivariate responses collected at small area level across a geographic space. In this presentation, I will describe some of our approaches to Bayesian modelling and analysis of these types of data. Two particular issues will be discussed. The first is the role of priors in spatial models and hidden Markov models. The second is the detection of anomalies for event identification and to increase the trustworthiness of the data.
The lectures were originally due to held in March 2020 but are now being held online via Zoom platform.
us02web.zoom.us/j/88118975864?pwd=cFRmWXMreWdiLzR5VGlCYXBCbE1WZz09
probability
Audience: advanced learners
Series comments: The link to zoom meeting can be found on the seminar's google calendar - www.isibang.ac.in/~d.yogesh/BPS.html
| Organizers: | D Yogeshwaran*, Sreekar Vadlamani |
| *contact for this listing |