Results 101 to 110 of about 14,071 (177)
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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Integrated Nested Laplace Approximations within Monte Carlo Methods
, 2020 Integrated Nested Laplace Approximations (INLA) er en deterministisk metode for å oppnå bayesiansk inferens på latente gaussiske modeller (LGMer) og fokuserer på raske og nøyaktige approksimasjoner av marginale posteriori-fordelinger for parametrene i en modell.
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Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach
, 2018 Bayesian inference typically requires the computation of an approximation to the posterior distribution. An important requirement for an approximate Bayesian inference algorithm is to output high-accuracy posterior mean and uncertainty estimates ...
Broderick, Tamara +3 more
core
, 2015 Latent variable models represent a useful tool for the analysis of complex data when the constructs of interest are not observable. A problem related to these models is that the integrals involved in the likelihood function cannot be solved analytically.
Bianconcini, Silvia +2 more
core
High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity
Geophysical Research LettersUnderstanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee +4 more
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International Journal of Applied Earth Observations and GeoinformationGeographical systems are inherently hierarchical, involving potential cross-scale interactions, as well as spatial dependencies and heterogeneities at each level of the geographic hierarchy.
Dongyang Yang, Guanpeng Dong
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PENDEKATAN GLMM BINOMIAL NEGATIF DALAM MENGANALISIS KASUS KEMATIAN BAYI DI JAWA TIMUR TAHUN 2023
E-Jurnal MatematikaInfant Mortality Rate (IMR) is a critical indicator of the health and welfare of a community, particularly in East Java. This province has a concerning IMR, necessitating greater efforts to meet the Sustainable Development Goals (SDGs) target of 12 ...
YOHANA HERLINA PUTRI +1 more
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EconometricsThis study introduces a multivariate extension to the class of stochastic volatility models, employing integrated nested Laplace approximations (INLA) for estimation. Bayesian methods for estimating stochastic volatility models through Markov Chain Monte Carlo (MCMC) can become computationally burdensome or inefficient as the dataset size and problem ...
João Pedro Coli de Souza Monteneri Nacinben +1 more
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Exploring Dengue Dynamics: A Multi-Scale Analysis of Spatio-Temporal Trends in Ibagué, Colombia
VirusesOur study examines how dengue fever incidence is associated with spatial (demographic and socioeconomic) alongside temporal (environmental) factors at multiple scales in the city of Ibagué, located in the Andean region of Colombia.
Julian Otero +2 more
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