Dear Allstat
Royal Statistical Society Discussion Meeting, Wednesday 11 December 2019
You are invited to discuss and/or contribute to the paper 'Unbiased Markov chain Monte Carlo methods with couplings' by Jacob et al.
The meeting will be held at the RSS offices in Errol Street at 5pm.
Tea and coffee will be available from 4:30pm.
A wine reception will follow the meeting at 7pm and everyone is welcome to attend.
An introductory pre-meeting will be held at 3pm
Speakers: Chris Sherlock and Pierre Jacob
Chair: Ioanna Manolopoulou
Full details of this Discussion Meeting are in StatsLife<https://www.statslife.org.uk/events/events-calendar/eventdetail/1496/63/rss-discussion-meeting-unbiased-markov-chain-monte-carlo-methods-with-couplings-by-jacob-et-al> and on our website<https://www.rss.org.uk/RSS/Publications/Journals/Discussion_Papers/RSS/Publications/Journals_sub/discussion_papers.aspx?hkey=edfa4f9b-d001-49aa-bab9-e903b204e5d7> where you can also register for the meeting and/or pre-meeting and download the PDF file of the paper and supporting files.
Discussants:
We welcome contributions to the discussion following the presentation of the paper by the author. Please let me know in advance if you would like to reserve a speaking slot (5 minutes maximum) so that your name can be called.
Written contributions:
We would be happy to receive a written contribution if you are unable to attend. It must be no more than 400 words in length (not including any tables, reference details and figures).
Please provide the following information at the beginning of your contribution:
o the author(s) and title of the paper under discussion
o your name, title and affiliation, as you would wish it to appear on your printed contribution, e.g. Dr X, University of Y, City Z
o an email address where you wish to receive the proofs of your contribution for checking. These will be issued about 3 months after the meeting
Written contributions received before the 11 December may be read out for discussion during the meeting if there is time.
After the meeting, written contributions may be submitted for publication by sending a PDF file (plus a separate file for each figure) direct to me at the Society's address before Wednesday 1 January 2020.
This deadline is important to help the author of the paper, who will consider all the contributions and compose a reply in limited time, and to help the timely production of the journal. A condition of publication of your contribution is that you assign copyright to the Society on the form that will be provided when we send you proofs to check.
Judith
Judith Shorten
Journals Administrator
Royal Statistical Society
12 Errol Street, London EC1Y 8LX
Direct dial: (44) 020 7614 3923
www.rss.org.uk<http://www.rss.org.uk/>
The RSS is a registered charity No. 306096
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