Improving Predictions When Interest Focuses on Extreme Random Effects
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1938583
Abstract: Statistical models that generate predicted random effects are widely used to evaluate the performance of and rank patients, physicians, hospitals and health plans from longitudinal and clustered da... read more here.
Keywords: focuses extreme; predictions interest; extreme random; interest focuses ... See more keywords
XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees
Sign Up to like & getrecommendations! Published in 2024 at "Atmosphere"
DOI: 10.3390/atmos15040440
Abstract: Carbon dioxide (CO2) is currently the most harmful greenhouse gas in the atmosphere. Obtaining long-term, high-resolution atmospheric column CO2 concentration (XCO2) datasets is of great practical significance for mitigating the greenhouse effect, identifying and controlling… read more here.
Keywords: resolution; xco2; spatial extreme; random trees ... See more keywords