Poster Presentations 2016

The following posters will be presented during the conference:
Posters will be presented 12.30 – 14.30 on Friday 8th January, but the poster boards will be available throughout the conference for browsing at leisure.

1. Structuring data information models of the build environment using dependency networks (Kinda Al-Sayed et al.) – abstract

2. Assessing the impact of social policies on health in Brazil: the 100 million cohort project (Mauricio Barreto et al.) – abstract

3. Estimating Dynamic Graphical Dependencies from Multivariate Time-Series (Alex Gibberd and James Nelson) – abstract

4. Direction of Arrival Estimation for Sensor Networks via Approximate Message Passing (Chunli Guo and James Nelson) – abstract

5. Temporal clustering of biomedical data: starting small, aiming big (Steven Kiddle et al.) – abstract

6. Distributed Multitask Learning (Jialei Wang et al.) – abstract

7. Bayesian variable selection for mixture of nominal and ordinal responses via an indicator matrix (Eleftheria Kotti et al.) – abstract

8. Distributed Statistical Learning Framework for Small and Big Data (Subhadeep Mukhopadhyay) – abstract

9. Geometric and Topological Foundations of Big Data Analytics (Fionn Murtagh and Pedro Contreras) – abstract

10. Change-point Estimation in High-dimensional Markov Random Fields (Sandipan Roy et al.) – abstract

11. Real-time Anomaly Detection on Large-scale Data (Yuqian Song et al.) – abstract

12. Optimal Uniform and Lp Rates for Random Fourier Features (Bharath Sriperumbudur and Zoltan Szabo) - abstract