Results 101 to 110 of about 3,106 (192)

Econometrics at the Extreme: From Quantile Regression to QFAVAR1

open access: yesJournal of Economic Surveys, Volume 40, Issue 3, Page 1672-1686, July 2026.
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte   +4 more
wiley   +1 more source

Modeling automobile insurance premium via integrated nested laplace approximation (INLA) [PDF]

open access: yes, 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
core  

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007

open access: yesCadernos de Saúde Pública, 2013
This study aimed to analyze the spatial distribution of dengue risk and its association with socio-environmental conditions. This was an ecological study of the counts of autochthonous dengue cases in the municipality of Campinas, São Paulo State, Brazil,
José Vilton Costa   +2 more
doaj   +1 more source

An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA [PDF]

open access: yes, 2022
Various computational challenges arise when applying Bayesian inference approaches to complex hierarchical models. Sampling-based inference methods, such as Markov Chain Monte Carlo strategies, are renowned for providing accurate results but with high ...
Niekerk, Janet van   +2 more
core  

Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

open access: yesActa Technica Jaurinensis
This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA)
Getachew Engidaw, György Terdik
doaj   +1 more source

Modeling suspected malaria cases in Papua province with second order Besag-York-Mollie 2 spatial regression

open access: yesInternational Journal of Applied Mathematics, Sciences, and Technology for National Defense
The number of malaria cases in Indonesia has increased in recent years. The highest malaria cases in Indonesia are in the eastern region, namely Papua Province, where in 2021 there were 86,022 cases.
Kirana Azzahra   +2 more
doaj   +1 more source

Bayesian survival analysis with missing data using integrated nested laplace approximation [PDF]

open access: yes, 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
core  

Mapping spatial drivers of rice productivity: A case study of Inpari 36 and 37 in West Java with BYM2-INLA

open access: yesJournal of Geospatial Science and Analytics
West Java is one of Indonesia’s largest rice-producing provinces. However, rice production has declined by 23.07% since 2018 due to land conversion. Therefore, this study investigates the factors influencing rice productivity by modeling and mapping the ...
I Putu Aditya Brama Putra Cakra Negara   +2 more
doaj   +1 more source

Some extensions of particle Metropolis-Hastings and their applications [PDF]

open access: yes
State-space models are fundamental tools for representing and analysing dynamic systems or phenomena, with applications spanning numerous scientific fields, such as signal processing, finance, and ecology. The fundamental idea of a state-space model (SSM)
Amri, Alaa
core   +1 more source

The impact of climatic factors on negative sentiments: An analysis of human expressions from X platform in Germany

open access: yesiScience
Summary: Expressions in social media can provide a rapid insight into people’s reactions to events, such as periods of climatic stress. This study explored the link between climatic stressors and negative sentiment on the X platform in Germany to inform ...
Tareq Al-Ahdal   +6 more
doaj   +1 more source

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