Pages that link to "Item:Q4970245"
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The following pages link to Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments<sup>†</sup> (Q4970245):
Displaying 13 items.
- Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data (Q830598) (← links)
- Improving performances of MCMC for nearest neighbor Gaussian process models with full data augmentation (Q2076130) (← links)
- Robust Bayesian inference for big data: combining sensor-based records with traditional survey data (Q2154206) (← links)
- Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework (Q2242020) (← links)
- A Bayesian spatio-temporal geostatistical model with an auxiliary lattice for large datasets (Q3195187) (← links)
- Conjugate Bayesian Regression Models for Massive Geostatistical Data Sets (Q5050414) (← links)
- Improving Bayesian Local Spatial Models in Large Datasets (Q5066391) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- Bayesian nonstationary spatial modeling for very large datasets (Q6069068) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- Fixed-domain asymptotics under Vecchia's approximation of spatial process likelihoods (Q6621340) (← links)
- High-dimensional multivariate geostatistics: a Bayesian matrix-normal approach (Q6626391) (← links)
- Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (Q6626522) (← links)
