Summer school on Bayesian modeling and computation


The summer school will be a mix of theoretical and practical courses, which will be taught by world experts in the field. It will be organized in modules (2x1.5h of lectures) over 5 days. Modules will include model selection, stochastic computation, MCMC, non parametric Bayes, introduction to WinBUGS and machine learning. More details will be posted as they become available.

Target audience: Graduate students and young researchers

Location: St John's College, University of British Columbia
Breakfast (Monday only) and dinner will be held in the Social Room, while all lectures will be in the Lecture Hall.

Date: July 14-18, 2008

Sponsor: PIMS

Instructors: Adrian Dobra (UW), David Dunson (Duke/NIEHS), Sebastien Haneuse (Group Health/UW), Dave Higdon (LANL), Alan Qi (Purdue), and Christophe Andrieu (Bristol).

Application procedure: The maximum number participants that will be accepted to the summer school is 40. As we except the number of applicants to exceed this number, students will be offered a place based on academic record. Registration fees will be covered by PIMS for all accepted participants. Accommodation expenses will also be covered by PIMS for out of town participants.
Interested student should send
(1) A short statement describing how you would benefit from the summer school
(2) A detailed CV
(3) A letter of recommendation from your academic advisor (should be sent directly by your supervisor)
by the application deadline of April 15, 2008 (Registration is closed). Application material should be sent by email to Raphael Gottardo.
Notification of acceptance will be e-mailed out on May 15.

Accommodations:
A block of 20 rooms has been reserved in the Totem Park Residence arrival on Sunday July 13 and departure on Friday July 18. The rooms will be a mix of single and twin rooms. Daily breakfast is included. Housekeeping service will include beds made upon arrival only, two (2) towels and soap provided. High-speed Internet service (Res Net) is available in all guest rooms at Totem Park Residence. Guests can plug their computers into the Res Net port located beside the phone jack in their rooms. Guests must provide their own computer, software, network card and patch cable. There is an administrative fee of $10.00 per guest (plus applicable taxes) for this service.

Dining:
There are several options for food on and close to campus, click here and here for more details.

Workshop dinner:
The workshop dinner will be held in the social room at St John's College at 6:00pm on thursday evening. Please let us know ASAP if you plan not to attend!

Participants:
Alexandra Roman, Audrey Q Fu, Billy Chang, Chang Howard, Chao Yang, Ehsam Karim, Flavia Moser, Francesca Castelli, Hong Qian, Ilona Naujokaitis-Lewis, Jennifer Chunn, Joslin Goh, Kenneth Lo, Li Xing, Li Zhen, Liangliang Wang, Marcio Diniz, Mauricio Neira, Michael Andrushchenko, Michael Regier, Michelle Ross, Mohammed El Anbari, Mohammed Shakhatreh, Nicholas Mitsakakis, Pierre Barbillon, Pingzhao Hu, Ruth Hummel, Saman Muthukumarana, Sebastian (Song) Li, Steve Welsh, Tian Shen, Vincent Vandewalle, Vincenzo Belcastro, Vivien Wong, Wei Qian, Xuekui Zhang, Yan Bai


Program (Subject to changes):

Sunday
July 13
Monday
July 14
Tuesday
July 15
Wednesday
July 16
Thursday
July 17
Friday
July 18
8:00:8:30 Welcome (8:00-9:00)
Full Canadian Breakfast provided
Breakfast
(on your own)
Breakfast
(on your own)
Breakfast
(on your own)
Breakfast
(on your own)
8:30-10:00 Module 1: MCMC (9:00-10:00)
(Christophe Andrieu)
Lecture Notes
Module 1: MCMC
(Christophe Andrieu)
Module 3: Spatial Statistics/Hierarchical modeling
(Dave Higdon)
Lecture Notes
Module 4: Machine Learning
(Alan Qi)
Module 6: Bayesian model selection
(Adrian Dobra)
Lecture Notes
10:00-10:30 Coffee break Coffee break Coffee break Coffee break Coffee break
10:30-12:00 Module 1: MCMC
(Christophe Andrieu)
Module 1: MCMC
(Christophe Andrieu)
Module 3: Spatial Statistics/Hierarchical modeling
(Dave Higdon)
Module 4: Machine Learning
(Alan Qi)
Lecture Notes
Module 6: Bayesian model selection
(Adrian Dobra)
12:00-1:00 Lunch
(on your own)
Lunch
(on your own)
Lunch
(on your own)
Lunch
(on your own)
Lunch
(on your own)
1:30-3:00 Module 2: WinBugs
(Sebastien Haneuse)
Module 3: Spatial Statistics/Hierarchical modeling
(Dave Higdon)
Module 5: Bayesian non parametric
(David Dunson)
Lecture Notes
Departure
3:00-3:30 Arrival/ Check-in Coffee break Free afternoon Coffee break Coffee break Departure
3:30-5:00 Arrival/ Check-in Module 2: WinBugs
(Sebastien Haneuse)
Module 3: Spatial Statistics/Hierarchical modeling
(Dave Higdon)
Module 5: Bayesian non parametric
(David Dunson)
Departure
6:00
Workshop Dinner