Results 131 to 140 of about 14,253 (214)

Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia

Scientific Reports
In 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
doaj   +1 more source

Spatiotemporal analysis of leptospirosis in Colombia from 2007 to 2021. An environmental health metrics approach

Critical Public Health
Leptospirosis is a global zoonosis and environmental health problem because of its strong association with environmental factors. Although spatiotemporal statistics can estimate area-specific risk indicators, very few spatiotemporal analyses are done at ...
Javier Cortes-Ramirez, Juan Diego Wilches-Vega, Sarker Parvez, Nestor Fabian Galvis-Serrano, Holver Smith Parada-Jurado, Juan David Gutierrez   +5 more
doaj   +1 more source

Application of integrated nested Laplace approximation to identify hot spots of methylation heterogeneity in healthy individuals from the MAMELI cohort

Frontiers in Genetics
DNA methylation is an epigenetic regulator of gene expression and cell identity, which can be shaped by both physiological and pathological factors, including environmental exposure.
Tiago Nardi, Eva Dariol, Rachele Matsagani, Donya Zojaji, Stefano Gustincich, Luca Pandolfini, Elia Biganzoli, Valentina Bollati   +7 more
doaj   +1 more source

The association of climate-induced stressors on risk of negative sentiment: An analysis from 462 million geotagged tweets in Europe

iScience
Summary: 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, Sandra Barman, Barrak Alahmad, Stella Dafka, Elisa Gallo, Joan Ballester, Mikhail Sofiev, Marina Romanello, Till Bärnighausen, Michael Gertz, Joacim Rocklöv   +10 more
doaj   +1 more source

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.
openaire   +1 more source

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

Geophysical Research Letters
Understanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee, Daniel T. Trugman, Greg Hirth, Jaeseok Lee, Victor C. Tsai   +4 more
doaj   +1 more source

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, Campbell, Trevor, Huggins, Jonathan H., Kasprzak, Mikołaj   +3 more
core  

A flexible multi-scale spatio-temporal modeling approach for disentangling meteorological and anthropogenic drivers of air pollution

International Journal of Applied Earth Observations and Geoinformation
Geographical 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
doaj   +1 more source

Spatial modeling of mid-infrared spectral data with thermal compensation using integrated nested Laplace approximation.

Applied Optics, 2021
B. Aquino, S. Castruccio, Vijay Gupta, S. Howard   +3 more
semanticscholar   +1 more source

Multivariate Stochastic Volatility Modeling via Integrated Nested Laplace Approximations: A Multifactor Extension

Econometrics
This 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, Márcio Laurini   +1 more
openaire   +2 more sources