Identifying meteorological drivers of PM2.5 levels via a Bayesian spatial quantile regression
SW Self, CS McMahan, BT Russell - Environmetrics, 2021 - Wiley Online Library
Recently, due to accelerations in urban and industrial development, the health impact of air
pollution has become a topic of key concern. Of the various forms of air pollution, fine …
pollution has become a topic of key concern. Of the various forms of air pollution, fine …
High spatial resolution IoT based air PM measurement system
E İçöz, FM Malik, K İçöz - Environmental and Ecological Statistics, 2021 - Springer
Air pollution is one of the global problems of the current era. According to World Health
Organization more than 80% of the people living in metropolitan areas breathe air which …
Organization more than 80% of the people living in metropolitan areas breathe air which …
Predicting pollution incidents through semiparametric quantile regression models
J Roca-Pardiñas, C Ordóñez - Stochastic environmental research and risk …, 2019 - Springer
In this paper we present a method to forecast pollution episodes using measurements of the
pollutant concentration along time. Specifically, we use a backfitting algorithm with local …
pollutant concentration along time. Specifically, we use a backfitting algorithm with local …
Using spatial smoothing to model a functional regression estimator to points on a lattice with application to surface-level ozone in the Eastern United States
BT Russell, WC Porter - Environmental and Ecological Statistics, 2022 - Springer
Spatial functional regression methods allow researchers to model spatially dependent
functional random variables, often using a kriging-based interpolation method. However …
functional random variables, often using a kriging-based interpolation method. However …
Modeling the relationship between vertical temperature profiles and acute surface-level ozone events in the US Southwest by spatially smoothing a functional quantile …
BT Russell, WC Porter - Environmental Data Science, 2022 - cambridge.org
With the proliferation of gridded data products, modeling the relationship between a scalar
response and a functional covariate over the points on a regular lattice is becoming …
response and a functional covariate over the points on a regular lattice is becoming …