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561 * ! Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-140A
Statistical Analyses for Environmental Monitoring — Contributed Papers
Section on Statistics and the Environment
Chair(s): Eva Murphy, Clemson University
10:35 AM Gaussian Process Filtering for Calibration of Low-Cost Air-Pollution Sensor Network Data
Claire Monique Heffernan, Johns Hopkins University; Abhi Datta, Johns Hopkins University; Roger Peng, Johns Hopkins Bloomberg School of Public Health; Kirsten Koehler, Johns Hopkins University; Drew R. Gentner, Yale University
10:50 AM Mechanistic Spatial Models for Heavy Metal Pollution
Wilson Wright, Colorado State University; Peter Neitlich, National Park Service; Alyssa Shiel, Oregon State University; Mevin Hooten, University of Texas at Austin
11:05 AM Robust Machine Learning Pipeline for Water Usage Prediction and Systematic Water Management
Jimmy Yu, PepsiCo Inc; Jeffrey Blake Bullwinkel, Harvard University; Jason Parcon, PepsiCo Inc; Lochana Kanishka Palayangoda, PepsiCo Inc; Anthony Weishampel, PepsiCo Inc
11:20 AM Flood Hazard Model Calibration Using Multi-Resolution Model Output
Samantha Marie Roth, Pennsylvania State University; Ben Seiyon Lee, George Mason University; Sanjib Sharma, Pennsylvania State University Earth and Environmental Systems Institute; Iman Shakib, Pennsylvania State University Earth and Environmental Systems Institute; Klaus Keller, Dartmouth College Thayer School of Engineering; Murali Haran, Pennsylvania State University
11:35 AM Bayesian Spatially Adapted Multi Change Point Method
Young Ho Yun, Virginia Tech; Inyoung Kim, Virginia Tech
11:50 AM Detecting Deforestation Using Robust Online Bayesian Monitoring
Laura J Wendelberger, North Carolina State University; Brian James Reich, North Carolina State University; Alyson G Wilson, North Carolina State University; Josh M Gray, North Carolina State University
12:05 PM Additive Partially Linear Models for Pooled Biomonitoring Data
Xichen Mou, University of Memphis; Dewei Wang, University of South Carolina