We offer a range of events and training to develop thinking, provoke debate, learn new skills and meet people interested in statistics and data analysis. Use free text to search for an event in the box below or browse by category, month, week or chronological order. To advertise a non-RSS event, see our rate card for details.

Previous month Previous day Next day Next month
By Month By Week Today Jump to month

Extended Discussion Meeting: Three papers on ‘Data visualization’

 
Share Download as iCal file
Click the icons above to Share, Tweet or add this event to your calendar (iCal)
 
RSS discussion paper meetings

Wednesday 05 September 2018, 05:30pm - 07:30pm

 
Location Cardiff City Hall, Cardiff

Paper 1: ‘Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view’

Speakers:
Stefano Castruccio (University of Notre Dame, USA)
Marc G. Genton and Ying Sun (King Abdullah University of Science and Technology, Thuwal

Recent advances in computing hardware and software present an unprecedented opportunity for statisticians who work with data indexed in space and time to visualize, explore and assess the structure of the data and to improve resulting statistical models. We present results of a 3-year collaboration with a team of visualization experts on the use of stereoscopic view and virtual reality (VR) to visualize spatiotemporal data with animations on non-trivial manifolds. We first present our experience with fully immersive VR with motion tracking devices that enable users to explore global three-dimensional time–temperature fields on a spherical shell interactively. We then introduce a suite of applications with VR mode, freely available for smartphones, to port a visualization experience to any interested people. We also discuss recent work with head-mounted devices such as a VR headset with motion tracking sensors.

A preprint of the paper can be downloaded here.

Paper 2: ‘Visualization in Bayesian workflow’

Speakers
Jonah Gabry (Columbia University, New York)
Daniel Simpson (University of Toronto)
Aki Vehtari (Aalto University, Espoo)
Michael Betancourt (Columbia University, New York, and Symplectomorphic, New York)
Andrew Gelman (Columbia University, New York

Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains. Practical Bayesian data analysis, like all data analysis, is an iterative process of model building, inference, model checking and evaluation, and model expansion. Visualization is helpful in each of these stages of the Bayesian workflow and it is indispensable when drawing inferences from the types of modern, high dimensional models that are used by applied researchers.

A preprint of the paper can be downloaded here.

Paper 3: ‘Graphics for uncertainty’

Speakers
Adrian W. Bowman (University of Glasgow)

Graphical methods such as colour shading and animation, which are widely available, can be very effective in communicating uncertainty. In particular, the idea of a ‘density strip’ provides a conceptually simple representation of a distribution and this is explored in a variety of settings, including a comparison of means, regression and models for contingency tables. Animation is also a very useful device for exploring uncertainty and this is explored particularly in the context of flexible models, expressed in curves and surfaces whose structure is of particular interest. Animation can further provide a helpful mechanism for exploring data in several dimensions. This is explored in the simple but very important setting of spatiotemporal data.

A preprint of the paper can be downloaded here.

This meeting forms part of the RSS 2018 Conference and anyone registered for that day can automatically attend the meeting. If you are not able to attend the conference but wish to just attend the discussion meeting session please contact the This email address is being protected from spambots. You need JavaScript enabled to view it..

Organiser Name Judith Shorten

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS Discussion Meetings Committee

 

 

 

 

Join the RSS

Join the RSS

Become part of an organisation which works to advance statistics and support statisticians

Copyright 2018 Royal Statistical Society. All Rights Reserved.
12 Errol Street, London, EC1Y 8LX. UK registered charity in England and Wales. No.306096

Twitter Facebook YouTube RSS feed RSS feed RSS newsletter RSS newsletter