Pages that link to "Item:Q5226630"

The following pages link to Spatio-Temporal Models with Space-Time Interaction and Their Applications to Air Pollution Data (Q5226630):

Displaying 18 items.

• A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling (Q312916) (← links)
• Hybrid model for urban air pollution forecasting: a stochastic spatio-temporal approach (Q745740) (← links)
• Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue (Q1621228) (← links)
• A time dependent Bayesian nonparametric model for air quality analysis (Q1659491) (← links)
• A locally adaptive process-convolution model for estimating the health impact of air pollution (Q1728671) (← links)
• Where is the clean air? A Bayesian decision framework for personalised cyclist route selection using R-INLA (Q2057372) (← links)
• Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide (Q2245146) (← links)
• An efficient approach to spatiotemporal analysis and modeling of air pollution data (Q2261015) (← links)
• Modeling space-time dynamics of aerosols using satellite data and atmospheric transport model output (Q2261039) (← links)
• Bayesian modeling and analysis for gradients in spatiotemporal processes (Q2803472) (← links)
• Improved Semiparametric Time Series Models of Air Pollution and Mortality (Q4651025) (← links)
• (Q5134143) (← links)
• A Spatiotemporal Model for Pollutant Concentrations (Q5201507) (← links)
• (Q5236401) (← links)
• (Q5312873) (← links)
• (Q5456604) (← links)
• Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data (Q6107664) (← links)
• Deep Latent Factor Model for Spatio-Temporal Forecasting (Q6637473) (← links)