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Main types of definitions in legal texts
The article contributes to examining different methods for defining legal terms, their effectiveness depending on the task of defining and specificity for international normative legal acts.
Ю. В. Юлінецька
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We compare three modern Bayesian approaches, Hamiltonian Monte Carlo (HMC), Variational Bayes (VB), and Integrated Nested Laplace Approximation (INLA), for two classic spatial econometric specifications: the spatial lag model and spatial error model. Our
Yuheng Ling, Julie Le Gallo
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Background: Predicting the incidence of time-sensitive cardiovascular diseases like out-of-hospital cardiac arrest (OHCA), ST-elevation myocardial infarction (STEMI), and stroke can reduce time to treatment and improve outcomes.
Angelo Auricchio +8 more
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Listeria monocytogenes is an intracellular pathogen capable of colonizing its hosts through virulence factors, with the Internalin A (InlA) protein being particularly notable.
Cristian Sillagana Verdezoto
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Homopolymeric tracts represent a general regulatory mechanism in prokaryotes
Background While, traditionally, regulation of gene expression can be grouped into transcriptional, translational, and post-translational mechanisms, some mechanisms of rapid genetic variation can also contribute to regulation of gene expression, e.g ...
Bowen Barbara M +2 more
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This paper investigates the multivariate pricing of coupon longevity bonds (CLBs) using the Fama–French–Lee–Carter (FF–LC) five-vector model in the framework of Bayesian integrated nested Laplace approximation (INLA) in the presence of geopolitical risk (
Yethu Sithole +2 more
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Soil organic carbon (SOC) plays a critical role in climate mitigation and agricultural sustainability, yet its spatial distribution in the eastern Democratic Republic of the Congo (DRC) remains poorly quantified.
Alain Matazi Kangela +8 more
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Modeling multivariate positive‐valued time series using R‐INLA
AbstractIn this article, we describe fast Bayesian statistical analysis of vector positive‐valued time series, with application to interesting financial data streams. We discuss a flexible level correlated model (LCM) framework for building hierarchical models for vector positive‐valued time series.
Dutta, Chiranjit +2 more
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Spatial modelling with R-INLA: A review
Coming up with Bayesian models for spatial data is easy, but performing inference with them can be challenging. Writing fast inference code for a complex spatial model with realistically-sized datasets from scratch is time-consuming, and if changes are made to the model, there is little guarantee that the code performs well.
Bakka, Haakon +7 more
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A Gentle Stan vs. INLA Comparison
Not long ago, I came across a nice blogpost by Kahtryn Morrison called A gentle INLA tutorial. The blog was nice and helped me better appreciate INLA. But as a fan of the Stan probabilistic language, I felt that comparing INLA to JAGS is not really that relevant, as Stan should - at least in theory - be way faster and better than JAGS.
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