Effects of Climate Change and Application of Causal Inference in Environmental Science

Tue, Aug 6, 8:30 AM - 10:20 AM

Souvick BeraChair

Section on Statistics and the Environment

6 Presentations

A Bayesian Model of Citizen Science Data for Monitoring Environments Stressed by Climate Change

8:35 AM - 8:50 AM

Ruishan Lin

Co-authors: Jonathan Auerbach (George Mason University), Theresa M. Crimmins (University of Arizona), David Kepplinger (George Mason University), E.M. Wolkovich (University of British Columbia)

Bayesian spatially-varying functional regression for crop yield modeling

8:50 AM - 9:05 AM

Lynsie Warr

Co-authors: Veronica Berrocal (University of California, Irvine)

Spatial causal inference in the presence of sampling bias

9:05 AM - 9:20 AM

Dongjae Son

Co-authors: Brian Reich (North Carolina State University), Erin Schliep (North Carolina State University)

Estimating population change as heterogenous treatment effects with citizen science data

9:20 AM - 9:35 AM

Daniel Fink (Cornell Lab of Ornithology)

Exploring spatiotemporal trends in air pollutants with Quantile Regression

9:35 AM - 9:50 AM

Sukanya Bhattacharyya (North Carolina State University)

Co-authors: Ana-Maria Staicu (North Carolina State University), Brian Reich (North Carolina State University)

Inferring causal relationships between spatio-temporal processes using tail-descriptive estimands

9:50 AM - 10:05 AM

Zipei Geng

Co-authors: Jordan Richards (King Abdullah University of Science and Technology), Raphael Huser (KAUST), Marc Genton (King Abdullah University of Science and Technology)