Contributed Talks and Posters

The meeting has taken place and registration/submission has closed. Thank you for your interest.

We welcome contributions from anyone wishing to attend the conference as a speaker or poster presenter.

Abstract submissions (for contributed talks and posters) will be peer reviewed and selected by the scientific committee. Abstracts may be selected as either contributed talks or posters.

Invited and Contributed Talk Format

Regarding talks at the meeting, please note the following important information:
All presenters should provide their PPT/PDF slides to the session organiser at the beginning of the session.

Technical information:
Each lecture room is fitted with a Full HD projector connected to a PC running the Windows operating system with Microsoft PowerPoint 2010 and Adobe Acrobat Reader XI as presentation tools.

We strongly recommend, for time purposes, that you bring your presentations in PDF or PowerPoint format on a USB stick and present using the PC provided.

See the Scientific Programme section for a detailed schedule.

Poster Format

Printed posters to be presented must be in A0 size and in portrait orientation. An abstract for the poster must also be submitted as per the instructions found on the Abstract Submission page.

Topics

Topics include:

Non-parametric inference and estimation
Smoothing techniques and density estimation
Bayesian non-parametric methods
Permutation methods
Inference for large-scale problems
Inference in high dimensions
Dimension reduction techniques
Functional data
Correlated data
Rank data
Count data
Symbolic data
Complex data
Network data
Imperfectly observed data
Statistical data integration
Big data analytics and modelling
Large data classification
Statistical learning
Large-scale computation
Statistical algorithms for big data

With a potential for applications in:

Medical databases
Biobanks
Omics databases
Cancer research
Molecular biology
Drug development
Biomarkers
Personalised medicine
High-throughput technologies
RNA sequencing
Genomics
Proteomics
Metabolomics