Pages that link to "Item:Q6032766"
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The following pages link to A general framework for Vecchia approximations of Gaussian processes (Q6032766):
Displaying 50 items.
- Unifying compactly supported and Matérn covariance functions in spatial statistics (Q69403) (← links)
- High-dimensional order-free multivariate spatial disease mapping (Q74216) (← links)
- Vecchia-approximated Deep Gaussian Processes for Computer Experiments (Q84900) (← links)
- Gaussian Process Learning via Fisher Scoring of Vecchia's Approximation (Q125192) (← links)
- A multi-resolution approximation via linear projection for large spatial datasets (Q825323) (← links)
- Multivariate isotropic random fields on spheres: nonparametric Bayesian modeling and \(L^p\) fast approximations (Q2044381) (← links)
- Max-and-smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models (Q2057335) (← links)
- Nonparametric spectral methods for multivariate spatial and spatial-temporal data (Q2057833) (← links)
- Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
- Regularity and approximation of Gaussian random fields evolving temporally over compact two-point homogeneous spaces (Q2074676) (← links)
- Improving performances of MCMC for nearest neighbor Gaussian process models with full data augmentation (Q2076130) (← links)
- Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series (Q2080360) (← links)
- Hierarchical Bayesian modeling of ocean heat content and its uncertainty (Q2080773) (← links)
- Discussion on competition on spatial statistics for large datasets (Q2084453) (← links)
- Multi-scale Vecchia approximations of Gaussian processes (Q2102959) (← links)
- Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
- Bayesian multiresolution modeling of georeferenced data: an extension of `LatticeKrig' (Q2143023) (← links)
- Large-scale local surrogate modeling of stochastic simulation experiments (Q2157538) (← links)
- Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide (Q2245146) (← links)
- Towards a complete picture of stationary covariance functions on spheres cross time (Q2316610) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Scalable Gaussian Process Computations Using Hierarchical Matrices (Q3391422) (← links)
- Covariance Models and Simulation Algorithm for Stationary Vector Random Fields on Spheres Crossed with Euclidean Spaces (Q4958921) (← links)
- Sparse Cholesky Factorization by Kullback--Leibler Minimization (Q4997432) (← links)
- Bayesian inference for high-dimensional nonstationary Gaussian processes (Q5033449) (← links)
- Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy (Q5052906) (← links)
- (Q5054610) (← links)
- Making Recursive Bayesian Inference Accessible (Q5056965) (← links)
- An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model (Q5066475) (← links)
- Multi-Resolution Filters for Massive Spatio-Temporal Data (Q5066492) (← links)
- Scaled Vecchia Approximation for Fast Computer-Model Emulation (Q5097836) (← links)
- (Q5405251) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- Scalable semiparametric spatio-temporal regression for large data analysis (Q6050902) (← links)
- Bayesian latent variable co-kriging model in remote sensing for quality flagged observations (Q6050918) (← links)
- Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts (Q6104100) (← links)
- Distributed Bayesian inference in massive spatial data (Q6111472) (← links)
- Bayesian nonstationary and nonparametric covariance estimation for large spatial data (with discussion) (Q6121621) (← links)
- Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data (Q6121983) (← links)
- Bayesian hierarchical modeling and analysis for actigraph data from wearable devices (Q6138608) (← links)
- Correlated product of experts for sparse Gaussian process regression (Q6161201) (← links)
- Fast Bayesian inference of block nearest neighbor Gaussian models for large data (Q6171799) (← links)
- Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference (Q6172908) (← links)
- Scalable computations for nonstationary Gaussian processes (Q6173565) (← links)
- Nearest-neighbor mixture models for non-Gaussian spatial processes (Q6203346) (← links)
- A localized ensemble of approximate Gaussian processes for fast sequential emulation (Q6548820) (← links)
- Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation (Q6554236) (← links)
- Learning particle swarming models from data with Gaussian processes (Q6562843) (← links)
- Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget (Q6567928) (← links)
- Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields (Q6567936) (← links)
