Results 91 to 100 of about 3,561,036 (197)
The impact of rapid urbanization on water resources based on INLA
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
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
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
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
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
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]
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
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
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
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

