KEYNOTE SPEAKERS

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International Keynote Speaker:

Professor Nial Friel, University College Dublin, Ireland

nial_insight

Nial Friel is a professor of statistics at University College Dublin and is a principal investigator at the Insight Centre for Data Analytics. His research interests include the statistical analysis of network data, Bayesian statistics, Monte Carlo methods and applications. He is currently the joint editor of the Journal of the Royal Statistical Society, Series C.

Keynote Talk:
Recent advances in the statistical analysis of network data
Tutorial:

International Keynote Speaker

Associate Professor Renate Meyer, University of Auckland, New Zealand

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Renate Meyer is Associate Professor in the Department of Statistics of the University of Auckland. After obtaining an MSc and PhD in Mathematics and Statistics from the University of Aachen, Germany, she took up a lectureship in the Department of Statistics at the University of Auckland, New Zealand, in 1994.  In 2010, 2017, and 2018, she held visiting professorships at the Karlsruhe Institute of Technology, the Otto-von-Guericke University Magdeburg in Germany, and the Observatoire de la Cote d’Azur, in France.  In 2018, she was awarded a James Cook Research Fellowship by the Royal Society of NZ for research on noise characterization studies for laser-interferometric gravitational wave observatories.

Renate has wide research interests in applied Bayesian inference and MCMC methods. She has been collaborating for many years with astrophysicists on the analysis of gravitational wave data. Her research areas comprise time series analysis with applications in astrophysics, state-space modelling in ecology, multivariate modelling using copulas, survival analysis in medical statistics, and   stochastic volatility models for financial time series.

Keynote Talk:
Helping to unlock the secrets of the universe: from a statistical autopsy of black hole mergers to Bayesian nonparametric time series analysis
Tutorial:

International Keynote Speaker

Professor Antonietta Mira, Università della Svizzera italiana (USI-University of Lugano) and also Professor of Statistics at Insubria University, Como, Italy

Mira

Professor Mira is founder and director of the Data Science Lab at the Institute of Computational Science, Università della Svizzera italiana (USI-University of Lugano) where she also served as the Vice-Dean in the Faculty of Economics. She is also Distinguished Professor of Statistics at Insubria University, Italy.

She is a Visiting Fellow of the Isaac Newton Institute for Mathematical Sciences at Cambridge University and has been a visiting professor at Université Paris-Dauphine, the University of Western Australia, and the University of Bristol, UK.  She is a Fellow of the International Society for Bayesian Analysis (ISBA, since 2016), for which she is currently serving as member of the Continuing Education Committee.  She is also a Member of the IMS council (elected for the term 2017-20), for which she is currently serving in the IMS Task Force on the Ph.D. Curriculum in Statistics and Probability

She has won awards for excellence in both research and teaching.  She is the principal investigator on several projects at the Swiss National Science Foundation and a member of multiple scientific committees representing her areas of expertise:  Bayesian Computation, and Markov Chair Monte Carlo Computation and Theory.

Her main research interests are Statistical theory of Markov chain Monte Carlo methods (MCMC) and other computational methods; Data Science;  Bayesian parametric and non-parametric methodology to include expert prior opinions in the inferential process;  Application of statistical models to problems mainly arising in social science, finance, economics and industry with a clear interdisciplinary attitude.

Keynote Talk:
Tutorial:

International Keynote Speaker

Professor Sudipto Banerjee, University of California, USA 

Sudipto BanerjeeSudipto Banerjee is currently Professor and Chair of the Department of Biostatistics in the School of Public Health at the University of California, Los Angeles (UCLA).  He is best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis.

His research interests are: Statistical modeling and analysis of geographically referenced datasets; Bayesian statistics (theory and methods) and hierarchical modelling; and Statistical computing and related software development.

Keynote Talk:  
High-dimensional Bayesian statistics for spatial-temporal data on your laptop.
Tutorial:

We would like to acknowledge and thank our sponsors for this event:

  • Bayesian Statistics Section of the Statistical Society of Australia. (SSA)
  • ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS)
  • Queensland University of Technology (QUT)
  • Bayesian Research & Applications Group (BRAG)
  • Australasian Chapter of the International Society for Bayesian Analysis (ISBA)
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