Center for Applied Statistics 560: Visiting Scholar Statistical Research Seminar (Fall 2009)
Wednesday, 2:00-4:00 PM in Seigle 206. Special meeting times: August 31 (3:00-6:00, Seigle 248), September 1 (1:30-4:30, Seigle 248),
and December 7 & 8 (2:00-5:00, Eads 014).
- Course Description:
This course brings distinguished academic statisticians to Washington University as part of an organized
research seminar. Lacking a Statistics Department or Ph.D. program in statistics, the campus community
can substantially benefit from internationally recognized scholars in the field who are willing to spend
substantial time at the University.
Selected statisticians will come to campus twice during the course. First, they will spend two days at
the beginning of the semester to introduce a research topic in statistics and to assign a reading list of
8-12 technical papers, including some of their own authorship. (This semester will feature a book.) Second, they will return to campus towards
the end of semester for four days for: two 2-hour seminars, a scholarly talk in the Center for Applied
Statistics, and individual meeting time with seminar participants and other members of the university
community. In between these two visits, a faculty member in the Center for Applied Statistics will lecture
and lead a discussion on each of these assigned papers as part of the weekly seminar meeting. The objective
is provide deep understanding of a complex technical topic through the use of experts in the field.
Fall 2009 topic: Bradley P. Carlin (University of Minnesota, Biostatistics), "Hierarchical Modeling and Analysis for Spatial Data."
- Prerequisite Details:
The only official prerequisite for this course is a course on linear models. This may be satisfied with
Math 439, Political Science 581, Epidemiology/biostat L24-439, Economics 413, or an approved equivalent
course. Generally these courses follow from, and require, introductory statistics courses as prerequisites.
The course will also assume a working knowledge of calculus and linear algebra at the level of Essential
Mathematics for Political and Social Research. Jeff Gill, 2006, Cambridge University Press. Since students
come to the course with varying levels of experience with statistical packages like R, some may need
a bit of effort to learn basic programming skills. If you suspect that you are in this group, it will pay
to spend some time with a basic text such as An R and S-Plus Companion to Applied Regression. John Fox,
2002, Sage.
- Course Grade:
The final grade will be based on: weekly attendance and participation, leadership as the course convener, and a writing assignment for Dr. Carlin's final visit. Every week, the course convener should meet with me during my Monday office hours to discuss the upcoming class. Readings should be completed before class.
- Office Hours: Monday 1-3, Wednesday 1-2, and by appointment.
- Required Reading: Banerjee, Sudipto, Bradley P. Carlin, and Alan E. Gelfand. 2004. Hierarchical Modeling and Analysis for Spatial Data. New York: Chapman and Hall. ISBN: 1-58488-410-X chapter-by-chapter slides
- Important Dates: No class on: August 26, September 2, November 25 (Thanksgiving), December 2.
Chapter presentation days:
- August 31, Brad Carlin (time: 3:00-6:00, location: Seigle 248),
"Overview of Spatial Data Problems and Point-Referenced Data Models." (chapters 1 and 2)
- September 1, Brad Carlin (time: 1:30-4:30, location: Seigle 248),
"Basics of Areal Data Models and Basics of Bayesian Inference." (chapters 3 and 4)
- September 9, Point-Referenced Data Models (sections 2.1-2.3,
Convener: Jamie Monogan).
slides,
LaTeX Code,
scallop code
- September 16, Point-Referenced Data Models (sections 2.4-2.5,
Convener: Jamie Monogan).
slides,
LaTeX Code,
result for class,
advertisements code,
advertisements data
- September 23, Basics of Areal Data Models (sections 3.1-3.2,
Convener: Andrew Womack). slides
- September 30, Basics of Areal Data Models (sections 3.3-3.5,
Convener: Andrew Womack). slides
- October 7, Basics of Bayesian Inference (chapter 4,
Convener: Jeff Gill).
- October 14, Hierarchical Modeling for Univariate Spatial Data (sections 5.1-5.2,
Convener: Santiago Olivella).
slides,
LaTeX Code
- October 21, Hierarchical Modeling for Univariate Spatial Data (sections 5.3-5.6,
Convener: Ian Ostrander).
slides,
LaTeX Code,
example code
- October 28, Spatial Misalignment (sections 6.1-6.2,
Convener: Jamie Monogan).
slides,
LaTeX Code,
example point-to-block predictions
- November 4, Spatial Misalignment (sections 6.3-6.4,
Convener: Rachael Hinkle).
slides,
LaTeX Code,
WinBUGS example
- November 11, Multivariate Spatial Modeling (sections 7.1-7.2.2,
Convener: Qing Li).
RAR file (LaTeX Code and Figures)
- November 18, Multivariate Spatial Modeling (sections 7.2.3-7.4,
Convener: Jamie Monogan).
slides,
LaTeX Code
- December 7, Brad Carlin (time: 2:00-5:00, location: Eads 014) "Areal Data Modeling in WinBUGS and Spatiotemporal Modeling." (chapter 8)
- December 8, Brad Carlin (time: 2:00-5:00, location: Eads 014).
"Spatial Boundary Analysis, Point Process Modeling, and Question & Answer Session."
student questions
- Incompletes: Due to the scheduled nature of the course, no incompletes will be given.
- Teaching Fellow: Andrew Womack. Office Hours by appointment.
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