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Learning Graphical Models in High-Dimensional Settings
|Evans, Robin||University of Oxford|
|Massa, Sofia||University of Oxford|
|Scutari, Marco||University of Oxford|
The purpose of this workshop is to help meet the theoretical, methodological and applied challenges in extending graphical models to higher dimensional settings. It has two major objectives:
To promote the development of new cutting-edge research at the interface of theory, modelling and applications for multivariate dependences to face the challenges presented when trying to model complex multivariate data sets. This will happen through an extensive exchange of ideas between leading researchers who use multivariate modelling in applied contexts on the one hand (for example in biology, genomics, medicine, social science), and leading experts in the theoretical aspects of graphical models on the other.
To stimulate the collaboration between researchers from different institutions, in particular to provide opportunities for young researchers to establish new collaborations and partnerships.
This workshop will provide outstanding training, learning, and collaboration opportunity for all participants, especially for young researchers. The UK community, and particularly students and PostDocs, will specifically benefit from the presence of experts based
outside the UK. The main impact will be through the bringing together of disparate strands of the community. Theoreticians will benefit from seeing and discussing the latest inferential problems in applied areas, and new statistical methodology; this will inform their future research directions. Those at the applied end of the spectrum will be able to see the latest developments in theory and computation, and use it to develop new methods for their datasets. We anticipate that the meeting will help to form important new collaborations in this rapidly developing field.
To be announced
To be announced
Date and time
- Start Date :
- End Date:
- Duration :
- 09:00 17:00
- Type :
- Organiser :
- Address :
15 South College Street
- Website: :
- Click Here to View Site