MEETING: RSS Pre-Ordinary meeting October 15th

[Natalia Bochkina]

Dear allstat,

We would like to draw your attention to Pre-Ordinary meetings, novel
events organised by the Young Statisticians Section at the Royal
Statistical Society. They are aimed at encouraging both the involvement
of PhD students in RSS Ordinary meetings, and the attendance of people
not familiar with the area discussed in the read paper being presented.
We hope that such introductory meetings will be of wide interest, not
only to younger statisticians.

Each Pre-Ordinary meeting will take place just before an Ordinary
meeting. They will include introduction to the area discussed in the
read paper by one of the authors and a discussion of related problems of
interest by another speaker. Both are aimed at people who are not expert
in the area. To encourage discussion, we will also run a poster session
after the talks, at which PhD students and young researchers are
encouraged to present their work.

The first Pre-Ordinary meeting will take place on 15 October, at 2:30pm,
details are given below. We hope to see you there.

With best wishes,

Natalia Bochkina
Organiser of Pre-Ordinary meetings,
On behalf on the Young Statisticians Section, Royal Statistical Society

----------------------
Pre-Ordinary Meeting: Computational Issues in Bayesian Inference:
Introduction and Challenges

15 October 2008 14:30 - 17:00
RSS, 12 Errol Street, London EC1Y 8LX

To precede the discussion paper by H. Rue, S. Martino and N. Chopin:

Approximate Bayesian inference for latent Gaussian models by using
integrated nested Laplace approximations

2:30 – 2:45 – Registration

2:45 – 3:30 – Nicolas Chopin, ENSAE-CREST, PARIS
                “Bayesian computation and Gaussian Markov random field
                models: Gibbs and what else?”

3:30 – 4:00 – Nial Friel, University College Dublin
                “Computational inference for statistical models with
                intractable normalising constants”

4:00 – 5:00 – Poster presentations and discussion

More details and registration (which is optional but encouraged) is on

http://www.rss.org.uk/main.asp?page=1321&event=622

Full information about the meeting (including the abstracts of the
talks) is available at

http://www.maths.ed.ac.uk/~nbochkin/RSSpreordinary.htm

To present a poster, send your poster title to N.Bochkina@...

--
Dr Natalia Bochkina
Lecturer in Statistics

School of Mathematics
King’s Buildings
University of Edinburgh
Mayfield Road
Edinburgh, EH9 3JZ

Tel: [phone]

Email:    N.Bochkina@...
Webpage:  http://www.maths.ed.ac.uk/~nbochkin/



--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

[Natalia Bochkina]

                          UNIVERSITY OF EDINBURGH

                 SCHOOL OF MATHEMATICS and MAXWELL INSTITUTE

                  Statistics Seminar Programme, Autumn 2008

26 September 2008 at 3:00pm, JCMB 5327
Tony Robinson (University of Bath)
The Popularity and Problems of Mixture Modelling

Friday 10 October 2008 at 3:00pm, JCMB 5327
Chris Glasbey (Biomathematics and Statistics Scotland)
Spatio-temporal weather models

Friday 24 October 2008 at 3:00pm, JCMB 5327
Chris Williams (School of Informatics, University of Edinburgh)
Factorial Switching Linear Dynamical Systems for Neonatal Condition
Monitoring

Friday 7 November 2008 at 3:00pm, JCMB 5326
Irini Moustaki (London School of Economics)
Detecting extreme response patterns using latent variable models

Friday 21 November 2008 at 3:00pm, JCMB 5327
Gabi Hegerl (School of GeoSciences, University of Edinburgh)
Using the past to predict the future: what can we learn from 20th
century and last millennium climate change?

Monday 1 December  2008 at 3:00pm, JCMB
Alexey Koloydenko (Royal Holloway, London)
Statistical Analysis of Diffusion Weighted MRI data

For further details see the website

http://www.maths.ed.ac.uk/seminars/list/series/7

Natalia Bochkina
N.Bochkina@...



--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.