Pages that link to "Item:Q5251248"
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The following pages link to Spatial and Spatio‐temporal Bayesian Models with R‐INLA (Q5251248):
Displaying 36 items.
- Understanding the stochastic partial differential equation approach to smoothing (Q782712) (← links)
- A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations (Q830465) (← links)
- Spatio-temporal change of support modeling with \texttt{R} (Q1995874) (← links)
- Intuitive joint priors for variance parameters (Q2057345) (← links)
- Bayesian prediction of spatial data with non-ignorable missingness (Q2062380) (← links)
- Modeling obesity rate with spatial auto-correlation: a case study (Q2088540) (← links)
- Spatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017 (Q2089373) (← links)
- A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in Mid-Scandinavia (Q2102978) (← links)
- Coherent combination of probabilistic outputs for group decision making: an algebraic approach (Q2197159) (← links)
- A unified view on Bayesian varying coefficient models (Q2283580) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Bayesian Inference for the Spatial Random Effects Model (Q3111189) (← links)
- A Bayesian spatio-temporal geostatistical model with an auxiliary lattice for large datasets (Q3195187) (← links)
- Spatially multi-scale dynamic factor modeling via sparse estimation (Q4997083) (← links)
- Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain) (Q5037069) (← links)
- A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States (Q5050801) (← links)
- Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria (Q5074896) (← links)
- Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database (Q5082758) (← links)
- Analysis of Prescription Drug Utilization with Beta Regression Models (Q5090567) (← links)
- Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (Q5222497) (← links)
- Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset (Q5861270) (← links)
- Missing data analysis and imputation via latent Gaussian Markov random fields (Q5870740) (← links)
- Performance of the supervised generative classifiers of spatio-temporal areal data using various spatial autocorrelation indexes (Q5885987) (← links)
- A TMB approach to study spatial variation in weather-generated claims in insurance (Q6063793) (← links)
- A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling (Q6089895) (← links)
- Investigating mesh-based approximation methods for the normalization constant in the log Gaussian Cox process likelihood (Q6541574) (← links)
- A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance (Q6570343) (← links)
- Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach (Q6592374) (← links)
- A scalable approach for short-term disease forecasting in high spatial resolution areal data (Q6595120) (← links)
- Spatial modeling with R-INLA: a review (Q6602213) (← links)
- Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation (Q6625683) (← links)
- Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels (Q6625902) (← links)
- A spatio-temporal approach to estimate patterns of climate change (Q6626033) (← links)
- Spatiotemporal reconstructions of global CO\(_2\)-fluxes using Gaussian Markov random fields (Q6626152) (← links)
- Space-time autoregressive estimation and prediction with missing data based on Kalman filtering (Q6626174) (← links)
- Bayesian spatio-temporal survival analysis for all types of censoring with application to a wildlife disease study (Q6626633) (← links)