First Announcement: Fourth
International IMS/ISBA Joint Meeting
Park City,
Utah, USA ("The Canyons")
"MCMSki III": Markov Chain Monte
Carlo in Statistical Science
Wednesday, January 5 to
Friday, January 7, 2011
website:
http://madison.byu.edu/mcmski/index.html
Following up on the success of the first
three joint international meetings
of IMS (Institute of Mathematical
Statistics) and ISBA (International
Society for Bayesian Analysis) held in
Isla Verde, Puerto Rico, and
Bormio, Italy, the fourth such joint
meeting will be held at The Canyons
in Park City, Utah, USA on *January 5-7,
2011*. The unifying theme of
the conference will be MCMC and its
impact on the practice of statistical
science in diverse areas, such as
genetics, genomics, environmental health,
epidemiology, and so on. However, since
this is a joint meeting of two
diverse organizations, talks on a wide
variety of topics (both Bayesian
and
non-Bayesian) will be presented.
Each day will begin with a 50 minute
talk by a plenary speaker, immediately
followed by an invited session, then
lunch, and then an afternoon break
(where skiing/snowboarding will be among
the options). Following the break
will be another invited session, then
dinner and posters; in short,
"Valencia style"
with ski/spa time replacing the usual
beach time. There will also be a
pre-conference
"satellite" meeting on adaptive and
other advanced MCMC methods on
January 3-4,
with Prof. Christian Robert again
serving as lead organizer (details to
follow).
We are very fortunate to have
commitments the following three
outstanding plenary speakers:
Prof. Nicky Best, Imperial College
London and St. Mary's Hospital
Prof. Michael Newton, University of
Wisconsin
Prof. Jeffrey Rosenthal, University of
Toronto
In addition, the members of the program
committee (see below) have
assembled
an invited program that is as attractive
as the conference venue, with
sessions on:
Modeling Dependence for High-Throughput Data
Advances in MCMC for Genomics
Bayesian versus Frequentist Approaches
in Observational Studies
Environmental Health Statistics
MCMC for Computationally Intensive
Inverse Problems
The meeting will take place at the
conference center at "The Canyons",
located approximately 40 minutes from
the Salt Lake City (SLC) airport
and readily accessible by public
transport. The airport is a hub for Delta
Airlines, now the world's biggest
commercial air carrier.
We anticipate obtaining grant support
from various federal sources to help
subsidize the cost of attending MCMSki
III for young investigators (persons
within 5 years of receiving the PhD)
presenting talks or posters at the
meeting.
In addition, ISBA has committed support
for young researchers, with
preference
to senior/advanced students active in
research, and preferentially to
students from
economically disadvantaged countries
(rather than from the E.U. and the
U.S./Canada).
Further details, including registration
fees, hotel accommodation, and
social events, are available from the
official conference website,
http://madison.byu.edu/mcmski/index.html
In particular, conference registration
will be available online starting in
December, 2009 through a link from our
site to an easy-to-use site
maintained
by the IMS. All papers presented at the
conference (either invited or
contributed)
will be eligible for publication in the
official journal of ISBA,
/Bayesian Analysis,/
following a refereeing process; see
*ba.stat.cmu.edu* for details.
*****
Program Committee:
Brad Carlin, University of Minnesota
(Conference Co-Chair)
Antonietta Mira, University of Insubria
(Conference Co-Chair)
Shane Reese, Brigham Young University
(Local Arrangements Chair)
Clelia DiSerio, Università Vita-Salute
San Raffaele
Montserrat Fuentes, North Carolina State
University
Sander Greenland, University of
California - Los Angeles
David Higdon, Los Alamos National Laboratory
Peter Muller, MD Anderson Cancer Center
Giovanni Parmigiani, Harvard University
--
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai