Please note EXTENDED DEADLINE FOR SUBMISSION OF ABSTRACTS.
Earlier publicity contained the deadline 1st February, this is now 19th
February.
RSS2001 ROYAL STATISTICAL SOCIETY CONFERENCE
THEME: SPATIAL MODELLING
Sponsored by the Royal Statistical Society, the conference will be held
in the Department of Statistics, University of Glasgow.
RSS2001 will include invited talks and organised sessions on the
following topics:
Spatial epidemiology, Spatio-temporal modelling, Stochastic geometry,
Environmental modelling, Ecological modelling, Combining data at
different resolutions, Image analysis, Medical imaging
Invited speakers include C Donnelly (UK), S Richardson (UK), D Hogg
(UK), H Rue (Norway), R Fewster (New Zealand), E Renshaw (UK), R Haining
(UK), N Cressie (USA), J Haslett (Eire), V Isham (UK), K Mardia (UK), C
Wikle
(USA), A Baddeley (Australia), J Moeller (Denmark), G Sebastiani
(Italy), M
Berman (Australia), J Besag (USA)
There will be two short courses on Tuesday 3 July on Model-based
Geostatistics by Peter Diggle and Paulo Ribeiro (UK) and Shape Analysis
by Ian Dryden (UK)
Authors are invited to submit a single A4-page abstract , deadline 19
February. Abstracts may be submitted by email to
[log in to unmask]
For full details of the conference, including the registration form, and
information on the submission of contributed and invited papers, visit
the conference website (http://www.rss2001.glasgow.ac.uk). Alternatively
information and registration forms can be obtained from the conference
organisers (RSS2001,
Dept of Statistics, University of Glasgow, Glasgow G12 8QW, (tel 0141
330
5024, fax 0141 330 4814) (email [log in to unmask]).
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ORDINARY MEETING OF THE ROYAL STATISTICAL SOCIETY
Wednesday 14 February 2001 at 5pm (Tea from 4.30pm)
Venue: Royal Statistical Society, 12 Errol Street, London EC1Y 8LX
Tel: 0171-638-8998
Nearest underground stations: Old Street, Moorgate and Barbican.
C. GLASBEY (BioSS) & K. MARDIA (University of Leeds)
A penalised likelihood approach to image warping
Warping functions, which deform images by mapping between image domains,
are a key component of imaging technology. We estimate these functions
by
maximising a penalised likelihood, strategically constructed through a
new image model to measure similarity between images and new distortion
criteria to penalise warpings. The power of the method is illustrated
through registering a remotely-sensed image, aligning microscope images,
and discriminating between species of fish.
Attendance is free and no preregistration is required.
A buffet supper is to follow (£14 per person). Those wishing to attend
the supper please contact Nicola Emmerson at [log in to unmask]
or phone: 020 7638 8998 before 10 February.
Proofs of the read paper are available as postscript from
http://www.maths.soton.ac.uk/staff/JJForster/RS/
or hard copy from Val Evans at the RSS ([log in to unmask] ).
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