Contributed Papers

Statistical Applications for Climate and Environmental Data II

Thu, Aug 7, 10:30 AM - 12:20 PM Room CC-105B Music City Center

Section on Statistics and the Environment

6 Presentations

A Kernel-Based Approach For Photovoltaic Power Prediction in South Africa

10:35 AM - 10:50 AM

Co-authors: Stefan Janse van Rensburg (Nelson Mandela University), Chantelle Clohessy (Nelson Mandela University), Stefan Janse van Rensburg (Nelson Mandela University), Mpho Mpofu (Nelson Mandela University)

Photovoltaic power prediction kernel methods machine learning renewable energy applied statistics

Correcting Precipitation Forecast Displacement Errors Using Machine Learning

10:50 AM - 11:05 AM

Co-authors: Aniruddha Pathak (Iowa State University), Tyreek Frazier (Iowa State University), Aniruddha Pathak (Iowa State University), Somak Dutta (Iowa State University), William A. Gallus, Jr. (Iowa State University), Kristie J. Franz (Iowa State University)

Mesoscale convective systems Quantitative precipitation forecast Mesoscale weather data Great-circle distance Machine learning postprocessor Probability matched mean

Ice Model Calibration using Diﬀusion Models

11:05 AM - 11:20 AM

Co-authors: Kanghyun Wi (Yonsei University), Kanghyun Wi (Yonsei University), Won Chang (Seoul National University), Jaewoo Park (Yonsei University, Department of Applied Statistics)

Ice model calibration diﬀusion model approximate Bayesian computation Siamese network semicontinuous spatial data

Inside the Heat Dome: analyzing heatstroke hospitalizations using Bayesian synthetic control with spatially augmented priors

11:20 AM - 11:35 AM

Co-authors: Leo Vanciu (Harvard University), Leo Vanciu (Harvard University), Giulio Grossi, Falco J. Bargagli Stoffi (University of California, Los Angeles (UCLA)), Francesca Dominici (Harvard School of Public Health)

Gun violence Heatwaves Causal inference Spatial statistics Synthetic controls Environmental health

Random Elastic Space-Time (REST) Prediction and Solar Irradiance Studies

11:35 AM - 11:50 AM

Co-authors: Nicolas Coloma, Nicolas Coloma, William Kleiber (University of Colorado)

curve registration distributed photovoltaic systems functional data analysis spatiotemporal prediction

Stochastic spatial stream networks for scalable inferences of riverscape processes

11:50 AM - 12:05 PM

Co-authors: Xinyi Lu, Andee Kaplan (Colorado State University), Xinyi Lu, Mevin Hooten (The University of Texas At Austin), Yoichiro Kanno (Colorado State University), Jacob Rash (North Carolina Wildlife Resources Commission), George Valentine (USDA)

Bayesian hierarchical models Markov random field population models space-time dynamics