Presentation on theme: "An Overview STARMAP Project I Jennifer Hoeting Department of Statistics Colorado State University"— Presentation transcript:
An Overview STARMAP Project I Jennifer Hoeting Department of Statistics Colorado State University email@example.com www.stat.colostate.edu/~jah
STARMAP: Space-Time Aquatic Resources Modeling and Analysis Program Funded by the U.S. Environmental Protection Agency (EPA) STARMAP website: www.stat.colostate.edu/~nsu/starmap The work reported here was developed under the STAR Research Assistance Agreement CR-829095 awarded by the U.S. Environmental Protection Agency (EPA) to Colorado State University. This presentation has not been formally reviewed by EPA. The views expressed here are solely those of presenter and the STARMAP, the Program she represents. EPA does not endorse any products or commercial services mentioned in this presentation. CR -829095
Model Selection and Geostatistical Models Jennifer Hoeting, Richard Davis, Andrew Merton Paper: Model Selection for Geostatistical Models, Ecological Applications, to appear Presentations/Invited talks: Davis: International Biometrics Conference (July 04) Hoeting: Statistics and Ecology Conf (Dec 04) Merton: CO-WY ASA meeting (May 04), JSM (Aug 04) Work in progress: Theory of AIC and geostatistical model selection Autocorrelation function modeling
State-Space Models for Biological Monitoring Data Devin Johnson and Jennifer Hoeting Devin Johnson, Assistant Professor at the University of Alaska, Department of Mathematical Sciences Subcontract with STARMAP Working on several papers for submission Invited talks: Johnson: JSM (Aug 04), Computational Environmetrics (Oct 04) Hoeting: EPA (June 04), International Workshop on Bayesian Statistics and its Applications (Jan 05) Collaborators: LeRoy Poff, Biology and Brian Bledsoe, Civil Engineering, CSU (STAR grant recipients), Nicole Macrury, Biology post-doc Initial phases of organizing a conf on trait analysis
Book: Statistical Computing Authors: Geof H. Givens and Jennifer A. Hoeting Publisher: Wiley Topics: Optimization, Numerical integration, EM algorithm, Simulation, Basic and Advanced MCMC methods, Bootstraping, Density estimation, Smoothing Intended audience: graduate students and researchers in statistics, scientists in other fields Anticipated publication: early 2005 Short courses: Computational Environmetrics Workshop (Oct 04), perhaps JSM 05.
Other STARMAP Projects Hierarchical Bayesian Models for Seasonal Radio Telemetry Habitat Data Megan Dailey and Alix Gitelman Presentations/Posters: TIES (June 04), Graybill Conf (June 04), JSM (Aug 04) Paper: submitted to Environmental and Ecological Statistics Enhancing Variogram Estimation Kerry Ritter, Molly Leecaster, Scott Urquhart Presentations: S. California Academy of Sciences (May 04), Graybill Conf (June 04), JSM (Aug 04) Paper: submitted to Environmental and Ecological Statistics
Other STARMAP Projects Investigating Spatial Correlation in Aquatic Resource Data Scott Urquhart and Josh French Bayesian Spatial models Jennifer Hoeting Paper submitted: ``Linking mule deer movement scales to the spatial distribution of chronic wasting disease: a hierarchical Bayesian approach,'' submitted to Ecology.
Session I:Modeling Methods Nonparametric Survey Regression Estimation Using Penalized Splines F. Jay Breidt*, Jean Opsomer and Mark Delorey * Colorado State University *, and Iowa State University State-Space Models for Biological Monitoring Data Devin Johnson and Jennifer Hoeting University of Alaska, Fairbanks and Colorado State University Model Selection for Geostatistical Models Andrew Merton, Jennifer Hoeting and Richard Davis Colorado State University