International Call for Contributed Papers:
Santa Cruz Bayesian data analysis workshop, 7-10 Aug 2003
Greetings, and apologies for cross-posting.
I've written to this email user group earlier to say that the Statistics Group
(which at present consists of David Draper, Thanasis Kottas, Herbie Lee,
Raquel Prado, and Bruno Sanso) in the Department of Applied Mathematics and
Statistics (AMS) at the University of California, Santa Cruz (UCSC) has
proposed to host an
International Workshop on Bayesian Data Analysis
at UCSC from Thursday (evening) through Sunday (afternoon) 7-10 August 2003,
as a kind of satellite meeting to be held right after the Joint Statistical
Meetings (JSM) nearby in San Francisco, CA, from August 3-7, 2003, and to ask
all potentially interested people to mark their calendars.
This message is to say that we have definitely secured enough funding to go
forward with the Workshop (the meeting is sponsored by AMS, the Intelligent
Systems and RIACS groups at NASA Ames, the National Science Foundation, and
the Center for Biomolecular Science and Engineering and the California
Institute for Quantitative Biomedical Research at UCSC), and to provide
additional details about it.
The Workshop web site is
www.ams.ucsc.edu/bayes03
(at present it does not contain much information beyond what's in this email,
but it will evolve over the coming weeks).
If you have questions about the Workshop that this message and/or the web site
do not answer, please send an email message to
[log in to unmask]
; the Organizing Committee for the Workshop is
Thanasis Kottas <[log in to unmask]>
Herbie Lee <[log in to unmask]>
Raquel Prado <[log in to unmask]>
Bruno Sanso (Chair, Organizing Committee) <[log in to unmask]>
, and someone from this committee will read your message and respond to it
quickly.
The web site is not quite ready for electronic registration for the Workshop,
but this will be ready in about a week; I'll write again later when it's
ready, to encourage everyone who is interested in participating in the meeting
in a contributed capacity to formally register.
If you're interested in giving a contributed paper at this Workshop in a
Valencia-style poster session, or if you're just interested in attending, we
would welcome your participation.
Attendance will be capped at about 100-120 people, and at present about 50 of
these slots are taken, so there is plenty of room at the moment to join the
Workshop -- if you were already planning to come to the JSM in San Francisco
and you'd like to extend your stay in the Bay Area by a few days (or if you'd
just like to come to Santa Cruz), to hear some outstanding talks and poster
presentations on contemporary Bayesian data analysis in a beautiful setting
(the UCSC campus is located in a 2,000 acre redwood forest overlooking
Monterey Bay), please join us.
A more extended description of the Workshop follows.
Best wishes, and looking forward to seeing you in Santa Cruz, David Draper
Description of the Workshop
The focus of the Workshop will be Bayesian data analysis: starting with a
real problem in science or decision-making, formulating the problem in
statistical terms, using Bayesian methods to solve the original problem,
and discussing the strengths and weaknesses of the solution both
statistically and substantively, with plenty of attention to the interplay
between the real-world context and the Bayesian model-building, checking,
and reformulating.
The meeting will be held on the campus of the University of California,
Santa Cruz (UCSC), immediately after the Joint Statistical Meetings that
will take place from August 3-7 in nearby San Francisco.
The goal is to bring together 100-120 people interested in Bayesian
applications in a variety of disciplines, including (but not limited to)
bioinformatics, biostatistics, econometrics, engineering, epidemiology,
computer science, machine learning, and statistics.
We hope that the setting of the UCSC campus, in a grove of redwood trees
overlooking Monterey Bay, will create a fruitful atmosphere for
multidisciplinary discussions and transfer of ideas.
We expect invited sessions on at least the following topics:
* Bioinformatics
* Biostatistics/epidemiology
* Computation
* Engineering applications
* Machine learning/computer science
* Nonparametric and semiparametric methods
* Spatiotemporal modeling
The workshop is scheduled for 7-10 August 2003.
The organization of the meeting will be as follows:
* Participants will be encouraged to arrive on the evening of Thu 7 Aug to
register and take part in an opening mixer;
* There will be four invited sessions between 9am and 6pm on Fri 8 Aug;
* Contributed papers will be presented in a Valencia-style poster session
from 8pm onward on Fri 8 Aug;
* There will be four invited sessions between 9am and 6pm on Sat 9 Aug;
* The conference banquet will take place from 7.30pm onward on Sat 9 Aug; and
* There will be an optional conference excursion to a winery in the Santa
Cruz mountains on Sun 10 Aug.
The workshop is intended for statisticians, scientists and engineers (from
a wide variety of fields of specialization) involved in applications
requiring statistical inference, prediction, and decision-making and using
Bayesian methods.
We expect the following approximate costs of participation in the Workshop:
* The meeting will be residential on the UCSC campus, with most participants
staying in apartments located within walking distance of the conference
venue (you're of course free to stay off-campus if you wish); the
approximate daily cost of room and board on-campus will be $100, and we
encourage participants to arrive on Thu afternoon and depart on Sun
afternoon.
* The registration fee, which will cover the rental of the rooms where the
talks and poster session will be held, the audiovisual equipment, and so
on, will be approximately $100.
* We will organize one or more buses to take participants from the JSM to
Santa Cruz on Thu afternoon (this will be included in the registration
fee); if you prefer to organize your own transport, the approximate cost
from San Francisco or the San Francisco airport is $50 each way.
* Costs of the optional events (the banquet on Sat night and the winery
excursion on Sun) will be additional and have not yet been determined.
Limited financial support is available and should be requested at time of
registration (we expect to provide partial support to a substantial number of
participants who are making contributed presentations).
The (initial) registration deadline for the Workshop is 9 June 2003.
As long as places are still available, registration will continue after
this date up to and including the first day of the meeting, but after 9
June it may be more difficult for you to (a) have your contributed paper
listed in the program and (b) receive full consideration for funding
support.
Participation in the workshop will be limited, and consideration will be
given to program balance.
Special consideration will be given to young investigators and Ph.D.
students, and members of under-represented groups are especially encouraged to
apply.
Invited speakers (whose participation is confirmed)
and possible topics for their talks
name affiliation possible topic
Jim Berger Duke and SAMSI applications in astronomy and
(statistics) traffic engineering involving
constraints in MCMC
Bill Fitzgerald Cambridge (UK) x-ray crystallography,
(engineering) changepoint detection,
particle filters,
communications,
mixture models and
classification
Nando de Freitas UBC (Canada) machine learning,
(computer science) computation,
engineering applications
Alan Gelfand Duke (statistics) applied spatio-temporal
problems
David Haussler UCSC (biomolecular bioinformatics
engineering)
David Higdon Los Alamos (statistics) integration of field data and
computer simulations for
calibration and prediction
John Huelsenbeck UC San Diego (biology) bioinformatics
Gabriel Huerta New Mexico (statistics) spatio-temporal modeling,
computation
Lurdes Inoue Washington biostatistics/epidemiology
(biostatistics)
J. R. Lockwood RAND (statistics) Bayesian methods for
modeling water quality in
U.S. drinking water supplies,
with particular emphasis on
multivariate methods that are
necessary to transforming the
existing regulatory framework
Viridiana Lourdes ITAM (Mexico) survival models, volatility
(statistics) models
Steve MacEachern Ohio State (statistics) semiparametric methods
Marc Mangel UCSC (applied math applications in ecology
and statistics)
Xiao-Li Meng Harvard (statistics) a Bayesian framework for
measuring the loss of
information due to incomplete
data in genetic hypothesis
testing
Kerrie Mengersen Newcastle (Australia) case study in public health:
(statistics) adjusted likelihood for
synthesising empirical
evidence from studies that
differ in quality and design:
effects of environmental
tobacco smoke
Peter Mueller MD Anderson Cancer sample size determination
Center (biostatistics) for microarray experiments,
Bayesian mixture modeling
for differential gene
expression, dose
individualization
Jennifer Pittman Duke (statistics) use of Bayesian tree models
with both clinical and
genomic information for
cancer prediction
Fernando Quintana PUC (Chile) nonparametric Bayesian
(statistics) modeling for multivariate
ordinal data, optimal design
for repeated binary data,
outlier detection via
clustering
Sylvia Richardson Imperial College (UK) analysis of gene expression
(epidemiology) data using Bayesian
hierarchical models,
spatial modeling in
epidemiology
David Cambridge (UK) health-care performance
Spiegelhalter (biostatistics) indicators and issues of
risk-adjustment, sequential
monitoring, multiple
comparisons, false discovery
rates, etc.; possible tie-in
with dynamic Harrison-West-
type models, and Bayesian
model criticism
Michael Stein Chicago (statistics) spatiotemporal covariance
functions
Marina Vannucci Texas A&M (statistics) Bayesian variable selection,
wavelet-based feature
selection, and linear models
with many variables, with
applications in
chemometrics, nutrition and
bioinformatics
Brani Vidakovic Georgia Tech Bayesian estimation of
(statistics) log-spectral density,
Bayesian block wavelet
shrinkage, robust Bayes
(Gamma-Minimax) wavelet
shrinkage
Chris Wikle Missouri (statistics) spatio-temporal dynamical
models with application to
either atmospheric science,
oceanography, or ecology
Santa Cruz and UCSC
By virtue of (a) its spectacular setting, nestled within 2,000 acres of
redwood forest and meadows overlooking the Monterey Bay National Marine
Sanctuary of California's beautiful Central Coast, (b) its award-winning
architecture, and (c) its network of picturesque bikeways and pathways, the
University of California, Santa Cruz is considered one of the most visually
appealing campuses in the world.
It's located about 70 miles (115 km) south of San Francisco and 30 miles (50
km) from Silicon Valley, at the north end of Monterey Bay, with the
Monterey-Carmel peninsula at the south end of the bay about 40 miles (65 km)
away.
Santa Cruz itself (population around 50,000) is a beach resort close to some
of the most stunning redwood groves in the U.S.
The weather in the summer usually features bright but mild sunny days with a
bit of coastal marine fog burning off by late morning; the maximum daily
temperature in August is usually in the 70-79 degrees F range (21-27 degrees
C), although days in the mid-80s F (about 29 degrees C) are not impossible,
and the low temperature at night is typically about 15-20 degrees F (8-11
degrees C) below the daily max (rainfall in August is rare).
UCSC was founded in 1965 with two goals: excellence in research in the
sciences, and innovation in undergraduate education.
Among other subjects, UCSC has nationally and internationally recognized
research programs in astronomy, astrophysics, bioinformatics, biology,
chemistry, earth sciences, machine learning, and ocean sciences.
The Baskin School of Engineering, in which the Department of Applied
Mathematics and Statistics (AMS) resides, was created in 1997 and strives for
research and teaching excellence in biotechnology, information technology,
and nanotechnology.
AMS began in 2001 with following main goal: the creation of centers of
national and international excellence in Bayesian statistics and in applied
mathematical modeling of complex dynamical systems.
Further information about UCSC is available at
www.ucsc.edu/ ;
maps of various kinds are available at
maps.ucsc.edu/ .
Additional details on the Baskin School of Engineering and AMS may be
found at
www.soe.ucsc.edu/
and
www.ams.ucsc.edu/ .
==============================================================================
Professor David Draper
Chair, Department of
Applied Mathematics web http://www.ams.ucsc.edu/~draper/
and Statistics email [log in to unmask]
Baskin School of phone US (831) 459 1295, nonUS +1 831 459 1295
Engineering fax US (831) 459 4829, nonUS +1 831 459 4829
University of California
1156 High Street departmental web pages www.ams.ucsc.edu
Santa Cruz CA 95064 USA
Interesting quotes, number 24 in a series:
The end is in the beginning; and yet you go on.
-- Samuel Beckett
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