A Flexible Bayesian Model for Estimating Subnational Mortality
Sign Up to like & getrecommendations! Published in 2017 at "Demography"
DOI: 10.1007/s13524-017-0618-7
Abstract: Reliable subnational mortality estimates are essential in the study of health inequalities within a country. One of the difficulties in producing such estimates is the presence of small populations among which the stochastic variation in… read more here.
Keywords: bayesian model; subnational mortality; mortality; model ... See more keywords
Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations.
Sign Up to like & getrecommendations! Published in 2022 at "Environmental science & technology"
DOI: 10.1021/acs.est.1c04076
Abstract: 3D-grid-based chemical transport models, such as the Community Multiscale Air Quality (CMAQ) modeling system, have been widely used for predicting concentrations of ambient air pollutants. However, typical horizontal resolutions of nationwide CMAQ simulations (12 ×… read more here.
Keywords: framework; ensemble machine; bayesian ensemble; machine learning ... See more keywords
FluHMM: A simple and flexible Bayesian algorithm for sentinel influenza surveillance and outbreak detection
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280218776685
Abstract: Timely detection of the seasonal influenza epidemic is important for public health action. We introduce FluHMM, a simple but flexible Bayesian algorithm to detect and monitor the seasonal epidemic on sentinel surveillance data. No comparable… read more here.
Keywords: influenza surveillance; surveillance; bayesian algorithm; simple flexible ... See more keywords