Articles with "bayesian spatio" as a keyword



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Geography of broadband faults explored with a Bayesian spatio-temporal statistical model

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Published in 2020 at "Applied Geography"

DOI: 10.1016/j.apgeog.2020.102308

Abstract: Abstract Broadband service providers readily use time-series models to forecast broadband related to minimise disruptions to customers but also from an operational perspective. Within a competitive market, minimizing future broadband faults is important for customer… read more here.

Keywords: broadband faults; geography; spatio temporal; model ... See more keywords
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Assessing the social and environmental determinants of pertussis epidemics in Queensland, Australia: a Bayesian spatio-temporal analysis

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Published in 2017 at "Epidemiology and Infection"

DOI: 10.1017/s0950268816003289

Abstract: SUMMARY Pertussis epidemics have displayed substantial spatial heterogeneity in countries with high socioeconomic conditions and high vaccine coverage. This study aims to investigate the relationship between pertussis risk and socio-environmental factors on the spatio-temporal variation… read more here.

Keywords: spatio temporal; pertussis incidence; pertussis epidemics; pertussis ... See more keywords
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Estimation of the Covariance Matrix in Hierarchical Bayesian Spatio-Temporal Modeling via Dimension Expansion

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Published in 2022 at "Entropy"

DOI: 10.3390/e24040492

Abstract: Ozone concentrations are key indicators of air quality. Modeling ozone concentrations is challenging because they change both spatially and temporally with complicated structures. Missing data bring even more difficulties. One of our interests in this… read more here.

Keywords: hierarchical bayesian; covariance matrix; bayesian spatio; dimension expansion ... See more keywords
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Bayesian Spatio-Temporal Prediction and Counterfactual Generation: An Application in Non-Pharmaceutical Interventions in COVID-19

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Published in 2022 at "Viruses"

DOI: 10.3390/v15020325

Abstract: The spatio-temporal course of an epidemic (such as Covid-19) can be significantly affected by non-pharmaceutical interventions (NPIs), such as full or partial lockdowns. Bayesian Susceptible-Infected-Removed (SIR) models can be applied to the spatio-temporal spread of… read more here.

Keywords: temporal prediction; non pharmaceutical; pharmaceutical interventions; bayesian spatio ... See more keywords