Dear Allstat
RSS Journal webinar: Dynamic networks
Join our next free webinar on Wednesday 9 December at 2pm (UK time) to hear the authors talk about these two excellent papers, which are both now free to access:
Paper 1: 'Statistical clustering of temporal networks through a dynamic stochastic block model<https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12200>’ by Matias & Miele. It was published in Series B, Volume 79, Issue 4, September 2017
Presenter: Catherine Matias, CNRS, Sorbonne Université and Université de Paris
Paper 2: 'A network analysis of the volatility of high dimensional financial series<https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12177>'
by Barigozzi & Hallin. It was published in Series C, Volume 66, Issue in April 2017
Presented by Matteo Barigozzi, University of Bologna, Italy
Chair: Yi Yu, University of Warwick
Discussant: Ernst Wit, University of Groningen, The Netherlands
An open discussion will follow the authors' presentations, and everyone is encouraged to take part. You can ask the authors a question or issue a message online using the MS Teams program. Questions can be emailed in advance to [log in to unmask]
Full event details including slides of the authors' presentations when available can be found on our website https://rss.org.uk/training-events/events/webinars/journal-webinar/
Journal webinars are free and open to everyone, please register for your place here https://rss.org.uk/training-events/registration/?eid=91b93130-8690-4713-9d0d-cc27da0108ac
We will post a podcast afterwards on YouTube, accessible from the main RSS website, for anyone unable to listen in live.
Judith
Judith Shorten
RSS Journals Manager
The Royal Statistical Society
12 Errol Street, London EC1Y 8LX
Direct dial: (44) 020 7614 3923
Mob:07939939871
www.rss.org.uk<http://www.rss.org.uk/>
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