Pages that link to "Item:Q1699675"
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The following pages link to High-dimensional Bayesian geostatistics (Q1699675):
Displaying 32 items.
- Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes (Q104464) (← links)
- Adaptive sampling for Bayesian geospatial models (Q261006) (← links)
- Approximate Bayesian inference for large spatial datasets using predictive process models (Q434887) (← links)
- Improving the performance of predictive process modeling for large datasets (Q961722) (← links)
- Principles for statistical inference on big spatio-temporal data from climate models (Q1642392) (← links)
- Spatiotemporal lagged models for variable rate irrigation in agriculture (Q2009131) (← links)
- Bayesian finite-population inference with spatially correlated measurements (Q2103271) (← links)
- Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
- Multi-scale shotgun stochastic search for large spatial datasets (Q2178160) (← links)
- A scalable Bayesian nonparametric model for large spatio-temporal data (Q2184402) (← links)
- Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures (Q2316986) (← links)
- Bayesian Geostatistical Design (Q3411059) (← links)
- Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments<sup>†</sup> (Q4970245) (← links)
- Conjugate Bayesian Regression Models for Massive Geostatistical Data Sets (Q5050414) (← links)
- (Q5054610) (← links)
- Scalable inference for space‐time Gaussian Cox processes (Q5377195) (← links)
- Strategies for Fitting Large, Geostatistical Data in MCMC Simulation (Q5481623) (← links)
- Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes (Q5881150) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- Distributed nearest-neighbor Gaussian processes (Q6049859) (← links)
- Bayesian latent variable co-kriging model in remote sensing for quality flagged observations (Q6050918) (← links)
- Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data (Q6079471) (← links)
- Bayesian hierarchical modeling and analysis for actigraph data from wearable devices (Q6138608) (← links)
- Bayesian modeling of discrete-time point-referenced spatio-temporal data (Q6149602) (← links)
- Statistical modeling using Bayesian latent Gaussian models. With applications in geophysics and environmental sciences (Q6535394) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- Fixed-domain asymptotics under Vecchia's approximation of spatial process likelihoods (Q6621340) (← links)
- Data fusion with Gaussian processes for estimation of environmental hazard events (Q6626381) (← 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)
- Multivariate nearest-neighbors Gaussian processes with random covariance matrices (Q6626655) (← links)
- Presence-only for marked point process under preferential sampling (Q6656013) (← links)
