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 29th, 2021 Time: 11:00-11:45am
Lecture 3: Bayesian Modelling and Analysis of Challenging Data Describing Systems of Data
Abstract: A common challenge is to analyse data as part of a system. In this presentation, I describe a number of Bayesian approaches to modelling such data, using as motivation case studies in neurology, ecology and industry. These case studies focus on understanding changes in the brain associated with a degenerative disease, and suggesting optimal dredgingstrategies for conservation of seagrass. The techniques employed include Bayesian wombling and dynamic Bayesian networks.
Date: January 29th, 2021 Time: 12:00-12:45pm
Lecture 4: Bayesian Modelling and Analysis of Challenging Data Making New Sources of Data Trustworthy
Abstract: Evidence-based decisions depend critically on trustworthy data. Two forms of data that have been brought into question in recent times are sensor data and citizen science data. Sensors are a key component of IoT and have created a step-change in our ability to monitor systems. However, they are often subject to technical anomalies that raise concerns about the validity of their data and signals. Citizen science is also growing in utility and interest in many areas, but often suffers from concerns about the credibility the information provided by community members. In this presentation, I will describe some new approaches to resolving some of these concerns. These include new methods for anomaly detection in high-dimensional streaming time series, and Bayesian models for estimating the latent ability of citizens taking into account the difficulty of the tasks. This work has been developed in collaboration with a number of teams working on challenges in ecology and industry; these teams will be acknowledged and the associated challenges discussed during the presentation.
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 |