R-INLA
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Related Items (81)
Bayesian inference for high-dimensional nonstationary Gaussian processes ⋮ Markov chain Monte Carlo with the integrated nested Laplace approximation ⋮ Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology ⋮ Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models ⋮ Comparison of three-dimensional profiles over time ⋮ A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States ⋮ Sampling Strategies for Fast Updating of Gaussian Markov Random Fields ⋮ Bayesian multiresolution modeling of georeferenced data: an extension of `LatticeKrig' ⋮ A comparison of spatial predictors when datasets could be very large ⋮ GEE-Assisted Forward Regression for Spatial Latent Variable Models ⋮ Importance Sampling with the Integrated Nested Laplace Approximation ⋮ Unnamed Item ⋮ Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models ⋮ Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria ⋮ Probabilistic forecasts of arctic sea ice thickness ⋮ Mode jumping MCMC for Bayesian variable selection in GLMM ⋮ Bayesian data fusion approaches to predicting spatial tracks: application to marine mammals ⋮ Fitting double hierarchical models with the integrated nested Laplace approximation ⋮ On the choice of the mesh for the analysis of geostatistical data using R-INLA ⋮ Dynamic Time Series Models using R-INLA ⋮ A general science-based framework for dynamical spatio-temporal models ⋮ Parallelized integrated nested Laplace approximations for fast Bayesian inference ⋮ Bayesian calibration of blue crab (\textit{callinectes sapidus}) abundance indices based on probability surveys ⋮ Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration ⋮ Spatiotemporal wildfire modeling through point processes with moderate and extreme marks ⋮ Unnamed Item ⋮ Improving the INLA approach for approximate Bayesian inference for latent Gaussian models ⋮ Hierarchical Bayesian level set inversion ⋮ A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields ⋮ Multi-scale process modelling and distributed computation for spatial data ⋮ A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis ⋮ Unnamed Item ⋮ Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category ⋮ Modeling outcomes of soccer matches ⋮ Approximate Bayesian inference for mixture cure models ⋮ Unnamed Item ⋮ Estimation of spatial autoregressive models with measurement error for large data sets ⋮ Deep Variational Inference ⋮ Variational message passing for elaborate response regression models ⋮ Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework ⋮ Computational Bayesian Statistics ⋮ Unnamed Item ⋮ A principled distance-based prior for the shape of the Weibull model ⋮ Inference on dynamic models for non-Gaussian random fields using INLA ⋮ Statistical analysis of next generation sequencing data ⋮ Bayesian Inference with INLA ⋮ The Rational SPDE Approach for Gaussian Random Fields With General Smoothness ⋮ Bayesian spatio-temporal prediction of cancer dynamics ⋮ Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines ⋮ A case study competition among methods for analyzing large spatial data ⋮ A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting ⋮ Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes ⋮ Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes ⋮ Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures ⋮ INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles ⋮ Bayesian outbreak detection in the presence of reporting delays ⋮ Random projections for Bayesian regression ⋮ Approximate Bayesian Estimation for Multivariate Count Time Series Models ⋮ A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data ⋮ Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia ⋮ Bayesian Cost-Effectiveness Analysis with the R package BCEA ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes ⋮ Quasi-complete separation in random effects of binary response mixed models ⋮ Intuitive joint priors for variance parameters ⋮ Where is the clean air? A Bayesian decision framework for personalised cyclist route selection using R-INLA ⋮ Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA ⋮ Unnamed Item ⋮ Modelling Ocean temperatures from bio-probes under preferential sampling ⋮ Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields ⋮ Estimating animal utilization distributions from multiple data types: a joint spatiotemporal point process framework ⋮ A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes ⋮ Spatially multi-scale dynamic factor modeling via sparse estimation ⋮ MSPOCK: alleviating spatial confounding in multivariate disease mapping models ⋮ Spatial and Spatio‐temporal Bayesian Models with R‐INLA ⋮ Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution ⋮ Unnamed Item ⋮ A principled stopping rule for importance sampling ⋮ Comparing and selecting spatial predictors using local criteria ⋮ Comments on: ``Comparing and selecting spatial predictors using local criteria
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