Results 81 to 90 of about 3,308,371 (168)
Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
Scientific ReportsIn this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from ...
Pau Satorra, Cristian Tebé
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Breakpoint detection on latent autoregressive time series of counts using integrated nested Laplace approximation. [PDF]
, 2020 Abrupt changes in a data source can weaken models that fail at addressing these. Structural change detection has traditionally been done with a frequentist approach, but recently approaches based on Bayesian models and Markov Chain Monte Carlo (MCMC ...
Ahmed, Amir
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, 2018 © 2017, © 2017 Taylor & Francis Group, LLC. The combined model accounts for different forms of extra-variability and has traditionally been applied in the likelihood framework, or in the Bayesian setting via Markov chain Monte Carlo.
Thomas Neyens +6 more
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iScienceSummary: This study examines how climate-induced health risks influence negative sentiments on European social tweets from 2015 to 2022. Analyzing over 400 million tweets using NLP tools (NLTK, LIWC22) and spatial-temporal aggregation at the NUTS2 weekly
Tareq Al-Ahdal +10 more
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Network meta-analysis with integrated nested Laplace approximations
, 2015 Analyzing the collected evidence of a systematic review in form of a network meta-analysis (NMA) enjoys increasing popularity and provides a valuable instrument for decision making.
Leonhard Held +3 more
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Designing Proposal Distributions for Particle Filters using Integrated Nested Laplace Approximation [PDF]
State-space models are used to describe and analyse dynamical systems. They are ubiquitously used in many scientific fields such as signal processing, finance and ecology to name a few.
Amri, Alaa
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JSTMapp: A web-based joint spatiotemporal modelling and mapping application for epidemiologists.
PLoS ONEDisease mapping models help create disease risk maps, which public health policymakers can use to design disease control and monitoring programmes.
Alfred Ngwira +3 more
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Modeling automobile insurance premium via integrated nested laplace approximation (INLA)
, 2016 In this dissettation we carried out Bayesian analysis for auto insurance data using latent Gaussian models. Such class of models include generalized linear (mixed) models and can take various structures, such as temporal, spatial and spatiotemporal. To
Mélo, Marcel Irving Pereira
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Bayesian survival analysis with missing data using integrated nested laplace approximation [PDF]
, 2020 Ph. D. Thesis.Bayesian survival analysis has bene tted from the introduction of Markov Chain Monte Carlo (MCMC) since the 1990s. However, MCMC has high computational cost and requires tuning and convergence checking.
Abdul Jalal, Muhammad Irfan bin
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, 2019 Recently, it has been shown that approximations to marginal posterior distributions obtained using a low discrepancy sequence (LDS) can outperform standard grid-based methods with respect to both accuracy and computational efficiency. This recent method,
Joe, Stephen +3 more
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