Nathan Wikle
Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa
Talks
“Causal inference for environmental health data: Estimating causal effects in the presence of spatial interference,” Iowa State University Statistics Department, Ames, IA. April 2024.
“Bayesian causal inference with uncertain physical process interference,” University of Iowa Biostatistics Department, Iowa City, IA. November 2023.
“Causal inference for environmental health data: Estimating causal effects in the presence of spatial interference,” American Casual Inference Conference (ACIC), Austin, TX. May 2023.
“Causal inference for environmental health data: Estimating causal effects in the presence of spatial interference,” University of Michigan Biostatistics Department, Ann Arbor, MI. February 2023. Invited.
“Causal inference for environmental health data: Estimating causal effects in the presence of spatial interference,” University of Connecticut Statistics Department, Storrs, CT. January 2023. Invited.
“Asthma and air pollution: Estimating direct and indirect effects of power plant interventions on asthma-related ED visits with a probabilistic exposure model,” International Conference on Health Policy Statistics (ICHPS), Scottsdale, AZ. January 2023.
“Causal inference for environmental health data: Estimating causal effects in the presence of spatial interference,” University of Iowa Statistics Department, Iowa City, IA. December 2022. Invited.
“Causal Inference for spatial data: Estimation of causal effects under interference and a probabilistic exposure model,” UT Austin Statistics Department, Austin, TX. September 2022. Invited.
“Estimation of causal effects under interference and a probabilistic exposure model,” Joint Statistical Meetings, Washington, DC. August 2022. Invited.
“Asthma and air pollution: estimating the effect of power plant interventions on asthma-related emergency department visits in Texas,” Matsui Research Group, Austin, TX. May 2022. Invited.
“Constructing mechanistic spatial models from Ornstein-Uhlenbeck processes,” CMStatistics, London. December 2021. Invited.
“A negative binomial process model of the 2020–2021 COVID-19 epidemic in Rhode Island,” Joint Statistical Meetings, Seattle, WA. August 2021.
“Mechanistic models for spatial data from Ornstein-Uhlenbeck processes,” Joint Statistical Meetings, Philadelphia, PA. August 2020. Invited.
“Bayesian selection of tuning parameters,” Joint Statistical Meetings, Denver, CO. July 2019.
“A dynamic individual-based model of ant interaction events,” Joint Statistical Meetings, Vancouver. July 2018.
Posters
“Bayesian causal inference with uncertain physical process interference,” American Casual Inference Conference, Seattle, WA. May 2024.
“A dynamic individual-based model of ant interaction events”
- Rao Prize Conference, Pennsylvania State University, University Park, PA. May 2019.
- Statistics for the Environment (ENVR) Workshop, Asheville, NC. October 2018.