|
|
|
ISBA 2008 SATELLITE WORKSHOPS
|
 
|
Workshop Sponsor
|
| |
| PRE-CONFERENCE WORKSHOPS: |
|
|
| |
| PRE-CONFERENCE COURSE: |
|
|
| |
| POST-CONFERENCE WORKSHOP: |
|
|
| |
| POST-CONFERENCE SHORT COURSE: |
|
|
| |
CONFERENCE WORKSHOP COST:
| |
Early Bird (by 24th May) |
Late Regsitration (after 24th May) |
| Fulltime Students |
$110 |
$165 |
| ISBA or AMSI Members |
$220 |
$275 |
| Non-members |
$330 |
$385 |
| |
| The authors' books relating to the course will be available at a discount rate for workshop participants. Price TBA. |
REGISTRATION: Registrations will open in January 2008 |
|
PRE-CONFERENCE COURSE COST:
| |
Early Bird (by 14th June) |
Late Regsitration (after 14th June) |
| Fulltime Students |
$270 |
$370 |
| All others |
$750 |
$850 |
| |
REGISTRATION: Registrations will open in January 2008 |
| |
|
POST-CONFERENCE COURSE COST:
| |
Early Bird (by 24th May) |
Late Regsitration (after 24th May) |
| Fulltime Students |
$110 |
$220 |
| ISBA or AMSI Members |
$385 |
$495 |
| Non-members |
$550 |
$660 |
| |
| The authors' book relating to the course will be available at a discount rate for workshop participants. Price TBA. |
REGISTRATION: Registrations will open in January 2008 |
| |
|
Pre-Conference Course - UQ, Brisbane
(14, 15 &17 July 2008) |
|
|
>> A COURSE IN BAYESIAN ECONOMETRICS <<
|
|
Instructor: Gary Koop Strathclyde University, Glasgow, Scotland
http://personal.strath.ac.uk/gary.koop/
|
| Course Description: The course will introduce the basic ideas and tools of Bayesian econometrics. It will cover Bayesian theory, Bayesian analysis of the linear regression model and extensions of the regression model. The first part of the course will be focused on posterior simulation. Different posterior simulators such as Monte Carlo integration, Gibbs sampling and Markov Chain Monte Carlo (MCMC) will be introduced. The second part of the course will consider some macroeconomic applications. We will begin with a survey of Bayesian approaches to univariate time series analysis including state space models. Finally, we will discuss extensions of these which are popular in the recent macroeconomic literature. These extensions will be discussed through some research papers. |
| |
| For further details on this workshop, please contact Maree Apolloni m.apolloni@uq.edu.au |
| |
| Please Note: John Geweke is giving a seminar at the School on Wednesday, 16th July 2008. |
|
|
 Enconometrics workshop flyer
|
|
Pre-Conference Workshop - QUT, Brisbane
(17-18 July 2008) |
|
|
>> BAYESIAN ENVIRONMETRICS WORKSHOP <<
|
|
Confirmed Invited Speakers:
Robert Wolpert Duke University, USA
Chris Jewell University of Warwick, UK
Jim Clark Duke University, USA
Birgir Hrafnkelsson University of Iceland, Iceland
Katya Ickstadt Univeristy of Darmstadt, Germany
David Draper Univeristy of California, USA
|
| Workshop Description:This workshop is aimed at researchers and practitioners who are interested in Bayesian approaches to statistical modelling and analysis of environmental issues. The workshop will comprise four themes: (1) environmental modelling for air, land and water; (2) environmental risk and biosecurity; (3) climate change, and (4) new statistical and computing technologies. |
Workshop Outline:
*** Day 1: Thursday, July 17th 2008 ***
08:30-09:00 Registration and Welcome
09:00-11:00 Invited Session 1
11:00-11:30 Break
11:30-13:30 Invited Session 2
13:30-14:30 Lunch
14:30-16:00 Contributed Session 1
16:00-16:30 Break
16:30-18:00 Posters Session
*** Day 2: Friday, July 18th2008 ***
09:00-11:00 Invited Session 3
11:00-11:30 Break
11:30-13:30 Contributed Session 2
13:30-14:30 Lunch
14:30-15:30 Invited Session 4
15:30-17:00 Panel Discussion
16:00 Close
|
|
|
| Environmetrics workshop flyer
|
 Environmetrics workshop Registration
|
|
Pre-Conference Workshop
State Library of Victoria, Melbourne
(18 July 2008) |
| |
|
|
>> MONASH BAYESIAN ECONOMETRICS WORKSHOP <<
|
|
Confirmed Speakers:
John Geweke University of Iowa, USA
Robert Kohn University of NSW, Australia
Gary Koop University of Strathclyde, Scotland
Dale Poirier University of California-Irvine, USA
Herman van Dijk Erasmus University, The Netherlands
|
Workshop Description: There is no charge for this workshop. Registration needs to be submitted via the form, once it is available, to confirm catering numbers. Topics covered include Complete and Incomplete Econometric Models, A reconsideration of the Angrist-Krueger analysis on returns to education and Flexible methods for modeling multivariate distributions
|
| Workshop Contacts: For more information regarding this workshop, contact
|
Workshop Registration: The registration form and more details of the workshop, can be found at:
http://www.buseco.monash.edu.au/depts/ebs/events/
|
|
|
Pre-Conference Workshop - Hamilton Island
(20 - 21 July 2008) |
|
Two short courses will be run prior to ISBA2008. They will be one day courses, running on Sunday afternoon, 20th July, and Monday morning, 21st July 2008.
|
| |
|
|
>> HIERARCHICAL BAYESIAN MODELLING FOR SPATIALLY REFERENCED DATA <<
|
|
Instructor: Sudipto Banerjee School of Public Health, Division of Biostatistics, University of Minnesota, Minneapolis, USA
sudiptob@biostat.umn.edu
http://www.biostat.umn.edu/~sudiptob/ |
| Course Description: In recent years there has been enormous growth in interest in the analysis of spatial data, and the
development of statistical methodologies that interact with geographical information systems (GISs).
This short course will introduce students to the nature of spatial data and the Bayesian hierarchical
models that can help to analyse such data. The course will cover a blend of theory, applications, and
software rel ated to diverse spatial and spatiotemporal modelling. In particular, the use of R packages
(geoR and spBayes) and the BUGS software will be demonstrated.
There are no specific prerequisites for this course, although students exposed to some mathematical
statistics and linear models will find the course more accessible. Anyone attending the ISBA 2008
conference with an interest in spatial data analysis is welcome to attend.
Course notes, datasets and computer programs will be made available on the website. |
Course Outline:
*** Day 1: Essentials *** (Sunday, July 20th 2008)
01:30pm - 01:35pm Introductory remarks
01:35pm - 02:30pm Introduction to spatial data and models
02:30pm - 03:20pm The Gaussian process: A key ingredient
03:20pm - 03:30pm BREAK
03:30pm - 04:30pm Hierarchical Bayesian spatial models
04:30pm - 05:30pm Computing demonstrations (WinBUGS and R: geoR and spBayes)
*** Day 2: Advanced Topics *** (Monday, July 21st 2008)
08:30am - 09:30am Multivariate spatial models
09:30am - 10:20am Spatiotemporal models
10:20am - 10:30am BREAK
10:30am - 11:15am Spatial models for LARGE spatial datasets
11:15am - 12:15pm Computing demonstrations (WinBUGS and R: geoR and spBayes)
|
|
| >> BAYESIAN CORE: A PRACTICAL APPROACH TO COMPUTATIONAL BAYESIAN STATISTICS << |
|
Instructor: Christian P. Robert Université Paris Dauphine and CREST, INSEE, Paris, France
xian@ceremade.dauphine.fr
http://www.ceremade.dauphine.fr/~xian |
Course Description: In this one-day course, we will cover the first chapters of Bayesian Core (Springer-Verlag, New York, 2007, ISBN 0-387-38979-2)
2. Normal models
3. Regression and variable selection
4. Generalised linear models
5. Capture-recapture experiments
with the support of specific datasets for each chapter. The goal is to introduce the principles of Bayesian analysis through standard models
and to build intuition on the construction of prior distributions as well as of inferential procedures, with a minimum amount of theoretical discussion and an emphasis on practical implementation. Due to the time constraint, the illustration via R programming will necessarily be restricted, but all R programmes are available on http://www.ceremade.dauphine.fr/~xian/BCS and can be downloaded in advance (as well as the slides).
|
|
| Hamilton Island Workshop Registration |
|
Post-Conference Workshop
Macquarie University, Sydney
(27 - 28 July 2008) |
| |
|
>> CALIBRATION AND VALIDATION OF COMPLEX COMPUTER MODELS: <<
BAYESIAN APPROACHES, BAYESIAN SOLUTIONS
|
|
Invited Participants:
Susie Bayarri University of Valencia, Spain
Jim Berger Duke Univeristy and SAMSI Director, USA
David Higdon Los Alamos National Laboratory, USA
Jonty Rougier Bristol University, UK
David van Dyk University of California, USA |
| Workshop Committee: Susie Bayarri, Petra Graham, Jim Berger, Kerrie Mengersen
|
| Workshop Description: Complex computer models are now used to describe and predict many real-world phenomena such as climate, financial markets, biological systems and societies. But how accurate are these models? What data underpin them? Are simpler, faster emulators available?
This workshop presents a panel of international experts to discuss Bayesian statistical solutions to these questions. The workshop comprises presentations, tutorials and a discussion panel, making it suitable for beginners to experts.
|
Workshop Outline:
*** Day 1: Sunday, July 27th 2008 ***
09:30-10:00 Registration and Welcome
10:00-11:15 Tutorial 1
11:15-11:45 Break
11:45-13:15 Invited to Contribute Session 1
13:15-14:30 Lunch
14:30-15:45 Tutorial 2
15:45-16:00 Break
16:00-17:00 Young Investigator Session 1
19:00 Workshop Dinner
*** Day 2: Monday, July 28th 2008 ***
09:30-10:30 Invited Presentation 1
10:30-11:30 Young Investigator Session 2
11:30-12:00 Break
12:00-13:30 Invited to Contribute Session 2
13:30-14:30 Lunch
14:30-15:30 Invited Presentation 2
15:30-16:30 Panel Discussion
16:30 Close
|
|
| |
| Complex Computer Models Flyer
|
| Complex Computer Models Registration
|
|
Post-Conference Short Course
QUT, Brisbane
(4 - 8 August 2008) |
| |
|
| >> INTRODUCTION TO PRACTICAL BAYESIAN STATISTICS <<
|
|
| Instructor: Christian Robert Université Paris, Dauphine, France |
| Course Description: Bayesian methods for data analysis, probability and inference are part of the modern statistician’s toolkit. This course provides a comprehensive overview of the foundation and application of this exciting field. The course, extending over four days, is designed for researchers and practitioners with some mathematical and statistical background, but little to no Bayesian expertise.
The course will comprise an integrated set of lectures and practical tutorials, using participants’ own laptops and the free software R. |
Course Outline:
*** Daily Schedule ***
09:00-10:30 Tutorial (excl Monday)
10:30-11:00 Break
11:00-12:30 Tutorial
12:30-13:30 Lunch
13:30-15:00 Tutorial
15:00-15:30 Break
15:30-17:00 Tutorial (excl Friday)
|
|
| |
| Practical Bayesian Statistics flyer
|
| Practical Bayesian Statistics Registration |
| |
|
|
|
|
