Pages that link to "Item:Q104464"
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The following pages link to Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes (Q104464):
Displaying 36 items.
- spNNGP (Q43160) (← links)
- Vecchia-approximated Deep Gaussian Processes for Computer Experiments (Q84900) (← links)
- Parallel cross-validation: a scalable fitting method for Gaussian process models (Q829752) (← links)
- Spatiotemporal lagged models for variable rate irrigation in agriculture (Q2009131) (← links)
- Improving performances of MCMC for nearest neighbor Gaussian process models with full data augmentation (Q2076130) (← links)
- Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions (Q2080775) (← links)
- Bayesian functional registration of fMRI activation maps (Q2170423) (← links)
- Multi-scale process modelling and distributed computation for spatial data (Q2209724) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Bayesian inference for high-dimensional nonstationary Gaussian processes (Q5033449) (← links)
- Conjugate Bayesian Regression Models for Massive Geostatistical Data Sets (Q5050414) (← links)
- (Q5054610) (← links)
- Scaled Vecchia Approximation for Fast Computer-Model Emulation (Q5097836) (← links)
- Scalable inference for space‐time Gaussian Cox processes (Q5377195) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- Discussion on competition on spatial statistics for large datasets (Q5970760) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← links)
- Distributed nearest-neighbor Gaussian processes (Q6049859) (← links)
- Random Forests for Spatially Dependent Data (Q6107238) (← links)
- Distributed Bayesian inference in massive spatial data (Q6111472) (← links)
- Bayesian hierarchical modeling and analysis for actigraph data from wearable devices (Q6138608) (← links)
- A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air pollution data (Q6138622) (← links)
- Fast Bayesian inference of block nearest neighbor Gaussian models for large data (Q6171799) (← links)
- Nearest-neighbor mixture models for non-Gaussian spatial processes (Q6203346) (← links)
- Adapting conditional simulation using circulant embedding for irregularly spaced spatial data (Q6543863) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- A review on computer model calibration (Q6604366) (← 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)
- A projection-based Laplace approximation for spatial latent variable models (Q6626418) (← links)
- Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (Q6626522) (← links)
- Recursive nearest neighbor co-kriging models for big multi-fidelity spatial data sets (Q6626668) (← links)
- Prior elicitation for Gaussian spatial process: an application to TMS brain mapping (Q6626918) (← links)
- Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments (Q6631046) (← links)
- Presence-only for marked point process under preferential sampling (Q6656013) (← links)
