SAMSI-SAVI Workshop on Environmental Statistics – March 4-6, 2013

Location

This workshop was held in Research Triangle Park, NC.

Description

This was the first workshop held at SAMSI under the SAMSI-SAVI program that is joint with several mathematical and statistical institutes in India. The invited speakers included researchers from both the United States and India. The objective of the workshop was to establish common research interests within the field of environmental statistics, and to discuss possible future directions of collaboration between the two countries. The workshop ran from the morning of March 4 until midday on March 6, and included open discussions and a poster session.

Schedule and Supporting Media

Monday, March 4, 2013
at SAMSI, Room 150

Description Speaker Slides Videos
Introduction and Welcome Richard Smith (SAMSI) and Bimal Roy (ISI)
Session 1: Sampling Methods
Nonparametric Estimation of Benchmark Doses in Environmental Risk Assessment Walter Piegorsch, University of Arizona  
Ranked Set Sampling in Environmental Statistics Jayant V.Deshpande, IISER, Pune  
Renewable Energy and Hot Spot Geoinformatics: Challenges for Statistical Analysis of Data on Smooth Manifolds Ashis Sengupta, ISI, Kolkata
Session 2: High-Dimensional Data
Independent Component Analysis and Robust Clustering Related to Pollution and Astronomical Data Asis Kumar Chattopadhyay, University of Calcutta  
Massive Data Set Analysis for NASA’s Atmospheric Infrared Sounder Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology

Tuesday, March 5, 2013
at SAMSI, Room 150

Description Speaker Slides Videos
Session 3: Human Health Effects
Bayesian Non-linear Regression for the Air Pollution Effects on Daily Clinic Visits in Small Areas of Taiwan Atanu Biswas, ISI, Kolkata  
Effect of Noise Pollution on School Children in Kolkata Gopal Basak, ISI, Kolkata
Bayesian Multivariate Spatial-temporal Model for Birth Defects and Ambient Air Pollution Risk Assessment Montserrat Fuentes, North Carolina State University  
Session 4: Pollution
Robust Inference for Generalized Partially Linear Mixed Models Subject to Censoring and Missing Covariates – An Application to Arctic Data Analysis Kalyan Das, University of Calcutta  
Modeling Space-Time Variation in the Satellite-Derived Chlorophyll Index Over Southern India Petrutza Caragea, Iowa State University  
Spatio-temporal modelling for air pollution Sujit Sahu, University of Southampton  
Modelling Arsenic Contamination in Ground Water of West Bengal and Bangladesh Bimal Roy, ISI, Kolkata  
Breakout Session 2

Wednesday, March 6, 2013
at SAMSI, Room 150

Description Speaker Slides Videos
Session 5: Spatial Statistics and Bayesian Methods
Regional Climate Model Assessment Using Statistical Upscaling and Downscaling Techniques Veronica Berrocal, University of Michigan  
Defining Spatial Comparison Metrics for Evaluation of Paleoclimatic Field Reconstructions of the Common Era Bo Li, Purdue University  
Improving Crop Model Inference through Bayesian Melding with Spatially-Varying Parameters Andrew Finley, Michigan State University  
Concluding Remarks