Forecasting Global Weather with Graph Neural Networks
February, 2022
Abstract
February, 2022
Abstract
DSA ADS Course - 2022
Cost-benefit Analysis, Cost-benefit Fallacy, Public Investment Planning, Forecasting, Resource Allocation, Behavioral Science
Discuss cost-benefit analysis, cost-benefit fallacy, public investment planning, forecasting, resource allocation, welfare economics, behavioral science and behavioral economics.
What if scenario estimates are highly inaccurate and biased? What are potential costs of scenario inaccuracies seriously distorting effective resource allocation?
December, 2021
Abstract
June, 2020
DSA ADS Course - 2021
Forecasting, COVID19, John Ioannidis, Public Policy, Health Policy, Causal Inference, Forensic Medicine, Causality, Intuitive Causation, Probabilistic Causation
Forecasting is usually impossible in high causal density environments. Scenario planning with applied probability and adaptation to near real-time data is optimal strategy. Epidemic forecasting is usually a fools errand yet appropriate analysis of experience and historical precedent is helpful.
July, 2020
Abstract
May, 2020
Abstract
OBJECTIVE: This paper provides a formal evaluation of the predictive performance of a model (and updates) developed by the Institute for Health Metrics and Evaluation (IHME) for predicting daily deaths attributed to COVID-19 for the United States.
STUDY DESIGN: To assess the accuracy of the IHME models, we examine both forecast accuracy, as well as the predictive performance of the 95% prediction intervals (PI).
This paper demonstrates that an operational forecast model can skillfully predict week 3-4 averages of temperature and precipitation over the contiguous U.S.
R. DAVID MCLEAN, JEFFREY PONTIFF
June, 2017
Abstract: