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09/11/2023
Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields
Performing a Bayesian inference on large spatio-temporal models requires...
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07/23/2023
Robustness, model checking and latent Gaussian models
Model checking is essential to evaluate the adequacy of statistical mode...
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06/29/2023
Non-stationary Bayesian Spatial Model for Disease Mapping based on Sub-regions
This paper aims to extend the Besag model, a widely used Bayesian spatia...
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03/27/2023
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling
Bayesian inference tasks continue to pose a computational challenge. Thi...
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12/21/2022
Bayesian Inference for Multivariate Spatial Models with R-INLA
Bayesian methods and software for spatial data analysis are generally no...
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12/04/2022
Bayesian survival analysis with INLA
This tutorial uses the conjunction of INLA and INLAjoint R-packages to s...
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11/20/2022
Fitting latent non-Gaussian models using variational Bayes and Laplace approximations
Latent Gaussian models (LGMs) are perhaps the most commonly used class o...
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04/10/2022
Parallelized integrated nested Laplace approximations for fast Bayesian inference
There is a growing demand for performing larger-scale Bayesian inference...
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03/27/2022
An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA
Various computational challenges arise when applying Bayesian inference ...
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03/11/2022
Fast and flexible inference approach for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
Joint modeling longitudinal and survival data offers many advantages suc...
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03/10/2022
Controlling the flexibility of non-Gaussian processes through shrinkage priors
The normal inverse Gaussian (NIG) and generalized asymmetric Laplace (GA...
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02/14/2022
Joint Modeling and Prediction of Massive Spatio-Temporal Wildfire Count and Burnt Area Data with the INLA-SPDE Approach
This paper describes the methodology used by the team RedSea in the data...
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01/30/2022
Joint Quantile Disease Mapping with Application to Malaria and G6PD Deficiency
Statistical analysis based on quantile regression methods is more compre...
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11/01/2021
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
Gaussian processes and random fields have a long history, covering multi...
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09/24/2021
Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA
The popular Bayesian meta-analysis expressed by Bayesian normal-normal h...
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07/09/2021
The Bayesian Learning Rule
We show that many machine-learning algorithms are specific instances of ...
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06/24/2021
Practical strategies for GEV-based regression models for extremes
The generalised extreme value (GEV) distribution is a three parameter fa...
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05/19/2021
Modelling short-term precipitation extremes with the blended generalised extreme value distribution
The yearly maxima of short-term precipitation are modelled to produce im...
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03/03/2021
Importance Sampling with the Integrated Nested Laplace Approximation
The Integrated Nested Laplace Approximation (INLA) is a deterministic ap...
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10/12/2020
Model-based bias correction for short AR(1) and AR(2) processes
The class of autoregressive (AR) processes is extensively used to model ...
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06/08/2020
The diffusion-based extension of the Matérn field to space-time
The Matérn field is the most well known family of covariance functions u...
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04/27/2020
Efficient Quantile Tracking Using an Oracle
For incremental quantile estimators the step size and possibly other tun...
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01/08/2020
Estimating Tukey Depth Using Incremental Quantile Estimators
The concept of depth represents methods to measure how deep an arbitrary...
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11/02/2019
Bayesian model averaging with the integrated nested Laplace approximation
The integrated nested Laplace approximation (INLA) for Bayesian inferenc...
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08/06/2019
Statistical modeling of groundwater quality assessment in Iran using a flexible Poisson likelihood
Assessing water quality and recognizing its associated risks to human he...
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02/13/2019
Joint Tracking of Multiple Quantiles Through Conditional Quantiles
Estimation of quantiles is one of the most fundamental real-time analysi...
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02/01/2019
Intuitive principle-based priors for attributing variance in additive model structures
Variance parameters in additive models are often assigned independent pr...
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01/15/2019
Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations
The Exponentially Weighted Average (EWA) of observations is known to be ...
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11/20/2018
A Hierarchical Spatio-Temporal Statistical Model for Physical Systems
In this paper, we extend and analyze a Bayesian hierarchical spatio-temp...
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10/09/2018
A three-stage model for short-term extreme wind speed probabilistic forecasting
Renewable sources of energy such as wind power have become a sustainable...
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08/14/2018
Discrete versus continuous domain models for disease mapping
Disease mapping aims to assess variation of disease risk over space and ...
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06/06/2018
Bayesian varying coefficient models using PC priors
Varying coefficient models arise naturally as a flexible extension of a ...
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02/18/2018
Spatial modelling with R-INLA: A review
Coming up with Bayesian models for spatial data is easy, but performing ...
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02/04/2018
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
This work has been motivated by the challenge of the 2017 conference on ...
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08/10/2017