Results 91 to 100 of about 3,561,036 (197)

The impact of rapid urbanization on water resources based on INLA

open access: yesFrontiers in Environmental Science
Rapid urbanization reshapes regional water resources by reconfiguring land systems and altering the balance between runoff and infiltration. Empirical evidence that jointly accounts for human and natural drivers while addressing spatial dependence ...
Yongjun Song   +9 more
doaj   +1 more source

Tectonics on Early Earth Driven by Earth's Changing Shape During Tidal Recession of the Moon

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 11, November 2026.
Abstract Few fragments of Earth's earliest crust have survived, and so this formative period of our planet's history is shrouded in mystery. To leverage the limited data available, it is important to understand all the processes that could have shaped our young planet.
S. J. Lock
wiley   +1 more source

Spatial heterogeneity in exposure to Brucella suis and pathogenic leptospires in feral pigs across New South Wales

open access: yesAustralian Veterinary Journal, Volume 104, Issue 11, Page 766-776, November 2026.
Feral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
AJ Bengsen   +10 more
wiley   +1 more source

Spatial Models Using Laplace Approximation Methods

open access: yes, 2019
Bayesian inference has been at the center of the development of spatial statistics in recent years. In particular, Bayesian hierarchical models including several fixed and random effects have become very popular in many different fields.
Håvard Rue   +5 more
core   +1 more source

Robust CDF‐Filtering of a Location Parameter

open access: yesJournal of Time Series Analysis, Volume 47, Issue 6, Page 1113-1123, November 2026.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania   +2 more
wiley   +1 more source

Markov chain Monte Carlo with the Integrated Nested Laplace Approximation

open access: yes, 2018
The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented as a latent Gaussian model (LGM).
Gómez-Rubio, Virgilio, Rue, Haavard
core   +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  

Alternatives to the Cox proportional hazards model: A review of additive hazards and accelerated failure time models

open access: yesStatistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract The Cox proportional hazards (PH) model remains the dominant approach in survival analysis, but it has two important limitations. First, it relies on the PH assumption, asserting that covariate effects act multiplicatively and remain constant over time.
Hein Putter, Liesbeth C. de Wreede
wiley   +1 more source

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

Efficient model exploration with the integrated nested Laplace approximation

open access: yes
Model and variable selection are important topics in Bayesian inference. In particular, the selection of different fixed, random effects and hyperparameters in hierarchical models can be difficult because of their complex structure. In this paper, we introduce the use of approximate Bayesian inference for model and variable selection for hierarchical ...
López-Gómez, Héctor   +2 more
openaire   +2 more sources

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