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Datalab Seminar: Bayesian Statistics in the Big Data Era

Bayesian statistics is now an essential tool in Data Science. skillset. However, while the Bayesian paradigm and the associated computational methods provide distinct advantages and opportunities, they also retain some challenges. These include the formulation of priors, interpretation of probabilistic outputs, Bayesian hypothesis testing, adoption and integration of new sources of data, and dimension reduction for big data. In this presentation, I will discuss some of these benefits and drawbacks in the context of substantive health, environmental and social projects that our research group at QUT has been undertaking. These include, among others, the construction of the Australian Cancer Atlas and the Virtual Reef Diver platforms. I will also touch on our research centres in data science at QUT in order to motivate further discussion about common interests and potential collaborations between our two universities.

Speaker:
Distinguished Professor Kerrie Mengersen is Research Chair in Statistics at Queensland University of Technology (QUT), Brisbane, Australia. She is the Director of the Bayesian Research and Applications Group (BRAG). This group is part of the Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) of Big Data, Big Models, New Insights. She has co-authored three books and edited two, and has written 27 book chapters and approximately 250 journal articles. Her research cuts across a broad spectrum of statistical practice. She is primarily known for her work in Bayesian statistics and meta-analysis, and has worked in applications of statistics in medicine and environmental science.

Special Note:
Since recently, Prof. Mengersen also chairs the newly established Data Science Center @ QUT. There is a lot of potential for future collaboration between QUT and ZHAW, including in the area of Data Science, and in particular with instutites of ZHAW Datalab. Because of this, you are particularly encouraged to attend. Following the seminar, there will be a common lunch, followed by the opportunity of further informal discussions with interested parties.

Seminar: 12:00-13:00
Lunch: 13:00-14:00
Discussion: 14:00-

 

Datum

Von: 29. Januar 2020, 12.00 Uhr

Ort

Room TH343, Technikumstrasse 9, 8400 Winterthur