Programme

Keynote Speakers

Steve Marron, Amos Hawley Distinguished Professor, The University of North Carolina at Chapel Hill, NC, USA

Peter Hall, Australian Laureate Fellow, The University of Melbourne, Australia, and University of California at Davis, CA, USA

Geoff McLachlan, Vice-Chancellor's Senior Research Fellow, University of Queensland, Brisbane, Australia

Programme

We have two files to help you navigate the conference's scientific programme:

Invited topic sessions

In the invited programme the following topics will covered in plenary sessions with keynotes and in invited sessions. This list is still preliminary and incomplete and will be regularly updated. The invited sessions are selected by the scientific committee.

Statistical methods for topological data analysis
Keynote speaker and session organiser: Steve Marron, Amos Hawley Distinguished Professor, The University of North Carolina at Chapel Hill, NC, USA

Statistical methods for heterogeneous data
Keynote speaker and session organiser: Peter Hall, Australian Laureate Fellow, The University of Melbourne, Australia, and University of California at Davis, CA, USA

Statistical (machine) learning in the biosciences
Keynote speaker and session organiser: Geoff McLachlan, Vice-Chancellor's Senior Research Fellow, University of Queensland, Brisbane, Australia

Data on exotic spaces
Session organisers: John Aston, University of Cambridge, UK, and Victor M. Panaretos, Ecole Polytechnique Fédérale de Lausanne, Switzerland

Inference of network data
Session organiser: Sofia Olhede, University College London, UK

New techniques for analyzing massive and high-dimensional data sets
Session organiser: Makoto Aoshima, University of Tsukuba, Japan

Statistical inference for high-dimensional data
Session organisers: Vince Lyzinsky and Daniel Sussman, Johns Hopkins University, MD, USA

High-dimensional inference and sparsity
Session organiser: Alexandre Tsybakov, Université Paris 6, France

Functional data analysis
Session organisers: Laurent Delsol, Université d'Orléans, France, and Phillipe Vieu, Université Paul Sabatier - Toulouse 3, France

Recent advances in multidimensional smoothing
Session organiser: Paul Eilers, Erasmus Medical Center Rotterdam, The Netherlands

Non-parametric inference
Session organiser: Michele LaRocca, University of Salerno, Italy

Non-parametric estimation and inference
Session organiser: Aurore Delaigle, The University of Melbourne, Australia

Non-parametrics and resampling-based methods in drug development
Session organiser: Günter Heimann, Novartis Pharma, Switzerland

Non-parametric methods to improve treatment effect estimation
Session organiser: Layla Parast, Rand Health, Rand Corporation, CA, USA

Modelling of complex biological data
Session organiser: Michael Akritas, Penn State University, PA, USA and Haiyan Wang, Kansas State University, KS, USA

Functional-based analysis of longitudinal, spatial and image data
Session organiser: Naisyin Wang, University of Michigan, MI, USA