Spatiotemporal modeling of hydrological return levels: A quantile regression approach
Sign Up to like & getrecommendations! Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2522
Abstract: Extreme river flows can lead to inundation of floodplains, with consequent impacts for society, the environment, and the economy. Extreme flows are inherently difficult to model, being infrequent, irregularly spaced, and affected by nonstationary climatic… read more here.
Keywords: quantile regression; regression; model; spatiotemporal modeling ... See more keywords
Spatiotemporal modeling of relative risk of dengue disease in Colombia
Sign Up to like & getrecommendations! Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-017-1461-5
Abstract: Spatiotemporal modeling of relative risk of dengue disease provides useful risk maps for surveillance and forecasting. The objective of the study was to generate smoothed estimates of relative risk applying hierarchical Bayesian spatiotemporal models, including… read more here.
Keywords: risk; risk dengue; modeling relative; spatiotemporal modeling ... See more keywords
Evolutionary Sensor Placement for Spatiotemporal Modeling of Battery Thermal Process
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3084133
Abstract: Spatiotemporal modeling is critical to the simulation, optimization, and control of the thermal process of a lithium-ion battery, which is a typical kind of distributed parameter system (DPS). Data-driven spatiotemporal modeling methods are of practical… read more here.
Keywords: spatiotemporal modeling; placement spatiotemporal; sensor placement; battery ... See more keywords
Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13631
Abstract: We propose a model-based approach that combines Bayesian variable selection tools, a novel spatial kernel convolution structure, and autoregressive processes for detecting a subject's brain activation at the voxel level in complex-valued fMRI (CV-fMRI) data.… read more here.
Keywords: valued fmri; structure; kernel; complex valued ... See more keywords
Within-City Variation in Ambient Carbon Monoxide Concentrations: Leveraging Low-Cost Monitors in a Spatiotemporal Modeling Framework
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DOI: 10.1289/ehp10889
Abstract: Background: Based on human and animal experimental studies, exposure to ambient carbon monoxide (CO) may be associated with cardiovascular disease outcomes, but epidemiological evidence of this link is limited. The number and distribution of ground-level… read more here.
Keywords: cost; ambient carbon; low cost; modeling framework ... See more keywords