AmStat Section News,
May 2007

Devin S. Johnson, Publications Chair

Peter Guttorp has worked for more than one year on the JSM 07 program.  He has succeeded in overseeing the organization of many sessions and other features that will be of interest to many members of our section.  Please read on to find out about the many exciting options for you in beautiful Salt Lake City, Utah this August.

 

JSM2006 in Salt Lake City

Peter Guttorp, ENVR JSM2007 Program Chair

Continuing Education:

Sunday 7/29

8:30 – 5:00  Modeling and Data Analysis for Complex Surveys, Jay Breidt and Jean Opsomer

 

Invited Sessions:

Sunday 7/29

2-3:50 Time Series Studies of Air Pollution and Health (WNAR session)

4:00 – 5:50 Design- and Model-based Sampling and Inference (Organized by Ronald E. McRoberts)

• Mary Christman: Design-Based, Model-Based and Model-Assisted Sampling and Inference in Natural Resources
• Don L. Stevens, Jr.: Optimal Spatial Sampling: Design-based or Model-based
• Ronald E McRoberts: Design-Based and Model-Based Issues in Natural Resource Inventories

Monday 7/30

10:30-12:20 Spatial Surveillance for Adverse Environmental Health Outcomes (Organized by Andrew Lawson)

• Marianne Frisén: Optimal Methods in Surveillance
• Ji-In Kim: Bayesian Modeling and Surveillance for Adverse MRDD Outcomes Associated with Soil Chemical Exposures
• Lance Waller: Assessing spatial performance of surveillance systems

 

Tuesday 7/31

8:30 – 10:20 Using Environmental Information for Rational Decisionmaking (Organized by Barry Nussbaum)

• Michael J. Messner: Virus and Indicator Occurrence in Ground Water Sources of Public Drinking Water
• Paul K. Black: A Bayesian Approach to EPA’s Data Quality Objectives Process
• John Warren: Strengthening Environmental Decision Making through Data Quality Objectives

10:30 – 12:20 Statistical Analysis and Forecast of Space-time Wind Power Data (IMS)

10:30-12:20 Recent Developments of Statistics in Forest, Wildlife, Fisheries and Ecological Research (WNAR)

10:30-12:20 The National Children’s Study: The Challenges and Promises of a Follow-Up Study of a Eandomly Selected Cohort of 100,000 Pre- and Post-Conception Women and Their Offspring through 21 Years of Life (ENAR)

 

Wednesday 8/1

10:30-12:20 Remote Sensing in Environmental Statistics (Organized by Tao Shi)

• Stephan Sain : Markov Random Fields, Remote Sensing, and Predicting Crop Yields
• Mikyoung Jun: Nonstationary covariance models for TOMS ozone data
• Amy Braverman: Understanding Large-scale Structure in Massive Remote Sensing Data Sets
• Catherine Calder: Space-Time Modeling of Biomass Burning and Regional Aerosols in Southeast Asia

2:00-3:50 Multi Criteria Prioritization and Ranking with Partial Order Without Compositing Multiple Indicators into an Index in Social, Environmental, and Infrastructure Work (Environmental and Ecological Statistics)

 

Invited Poster Session:

Monday 7/30  2-3:50

Posters presented by Marc Genton, Stephan Sain, Zepu Zhang, Doug Nychka, Bo Li, Chave Zibman, Souparno Ghosh, Peter Guttorp, Hae-Ryong Song, Thomas Lumley and Li Chen

 

Topic Contributed Sessions:

Sunday 7/29

4:00-5:50 Spatial statistics: methods and applications (IMS)

4:00-5:50 Analyzing Time Series Data with Time-Varying Frequencies (SPES)

 

Monday 7/30

10:30-12:20 Spatial statistics applied to the environment (IMS)

 

Tuesday 7/31

2:00-3:50 Application of Bayesian Inference in Wildlife Ecology (SBSS)

2:00-3:50 The Role of Statistics in Ecological and Climate Modeling (Organized by Montserrat Fuentes)

 

Thursday 8/2

8:30-10:20 Nonparametric Approaches to Regression and Spatial Modeling (IMS)

10:30-12:20 GIS, Map Accuracy, and Statistics (Organized by Jarrett Barber)

 

Coffee Roundtables

Monday 7/30

7:00 am - 8:15 am

• Hierarchical Spatial Models Bridging Ecology and Public Health (Lance Waller)
• What’s the Future for Point Process Modeling in Ecology? (Philip Dixon)

 

Wednesday 8/1

7:00 am - 8:15 am

• Multivariate Environmental Health Surveillance (Andrew Lawson)
• Bayesian Disease Mapping Methods and Applications: Past Present and Future (Ying McNab)

 

Also of interest…

Summer School on Modeling Environmental Space – Time Processes

 PIMS invites applications for the International Graduate Summer School on Modeling Environmental Space – Time Processes designed for graduate students or Postdoctoral fellows in the statistical sciences as well as others with a solid background in statistics and probability. The Institute will include a course of lectures on basic theory as well as current hot research topics. Afternoons will be devoted to labs on modeling and analyzing data from space – time processes. In particular, they will include a module on the use of state space models for random space - time fields. Another module on Bayesian melding will show how to combine simulated data from deterministic computer models and measurements from environmental. Complementary software will be provided and used in conjunction with standard packages. Enrollment will be limited so priority will be given to applicants from institutions embraced by PIMS. A limited number of fellowships to cover travel and local expenses of their graduate students will be available for those applicants.

Application Deadline: May 14, 2007. Forms will soon be available at: http://pims.math.ca/science/2007/07mestp

Instructors: Peter Guttorp & Paul Sampson (University of Washington)

Nhu Le (British Columbia Cancer Research Agency), Jim Zidek (University of British Columbia)

Reference: Le, N.D & Zidek, J.V. (2006). Statistical analysis of environmental space – time processes. New York: Springer