Results 91 to 100 of about 20,537 (194)

Assessing the Impact of Geopolitical Risk on Longevity Bond Pricing: Insights from Bayesian Multivariate Regression

Journal of Statistical Theory and Applications (JSTA)
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, Eeva Maria Rapoo, Samuel Asante Gyamerah   +2 more
doaj   +1 more source

Assessment of the Inhibitory Potential of Flavonoids on the Internalin A Protein of Listeria monocytogenes Through Molecular Docking

Orbital: The Electronic Journal of Chemistry
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
doaj   +1 more source

Homopolymeric tracts represent a general regulatory mechanism in prokaryotes

BMC Genomics, 2010
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, Orsi Renato H, Wiedmann Martin   +2 more
doaj   +1 more source

Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates

Environmental Challenges
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, Bitaisha Nakishuka Shukuru, Serge Mugisho Mukotanyi, Gerard Imani, Yannick Mugumaarhama, Daniel Muhindo Iragi, Dieudonné Shamamba Bahati, Janvier Bigabwa Bashagaluke, Wivine Munyahali   +8 more
doaj   +1 more source

Modeling multivariate positive‐valued time series using R‐INLA

Applied Stochastic Models in Business and Industry
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, Ravishanker, Nalini, Basu, Sumanta   +2 more
openaire   +2 more sources

Spatial modelling with R-INLA: A review

, 2018
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, Rue, Håvard, Fuglstad, Geir-Arne, Riebler, Andrea, Bolin, David, Krainski, Elias, Simpson, Daniel, Lindgren, Finn   +7 more
openaire   +2 more sources

A Gentle Stan vs. INLA Comparison

, 2018
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.
openaire   +1 more source

Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model

Geoderma
Information on the spatial distribution of soil organic carbon (SOC) in regional farmland is crucial for improving management and production. Mapping SOC in farmlands is challenging due to the strong variation of SOC caused by the influence of natural ...
Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li   +10 more
doaj   +1 more source

Prevalence, and virulence determination of Listeria monocytogenes strains isolated from clinical and non-clinical samples by multiplex polymerase chain reaction

Revista da Sociedade Brasileira de Medicina Tropical
INTRODUCTION: This study aimed to determine the prevalence, and virulence factors of Listeria monocytogenes isolated from various samples by multiplex polymerase chain reaction (MPCR).
Abazar Pournajaf, Ramazan Rajabnia, Mansour Sedighi, Aziz Kassani, Vahid Moqarabzadeh, Lida Lotfollahi, Abdollah Ardebilli, Behzad Emadi, Gholamreza Irajian   +8 more
doaj   +1 more source

INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC

Statistics and Computing
The integrated nested Laplace approximations (INLA) method has become a widely utilized tool for researchers and practitioners seeking to perform approximate Bayesian inference across various fields of application. To address the growing demand for incorporating more complex models and enhancing the method's capabilities, this paper introduces a novel ...
Esmail Abdul Fattah, Janet Van Niekerk, Håvard Rue   +2 more
openaire   +3 more sources