Pages that link to "Item:Q4986350"
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The following pages link to A class of multi-resolution approximations for large spatial datasets (Q4986350):
Displaying 28 items.
- Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity (Q92247) (← links)
- A comparison between Markov approximations and other methods for large spatial data sets (Q333683) (← links)
- Multi-scale geometric methods for data sets. II: Geometric multi-resolution analysis (Q413654) (← links)
- A multi-resolution approximation via linear projection for large spatial datasets (Q825323) (← links)
- Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data (Q830598) (← links)
- Approximate inference for spatial functional data on massively parallel processors (Q1623412) (← links)
- Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods (Q2080350) (← links)
- Multi-scale Vecchia approximations of Gaussian processes (Q2102959) (← links)
- Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
- Spatial regression with non-parametric modeling of Fourier coefficients (Q2151603) (← links)
- Multi-scale shotgun stochastic search for large spatial datasets (Q2178160) (← links)
- Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide (Q2245146) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- An Optimal and Practical Cache-Oblivious Algorithm for Computing Multiresolution Rasters (Q2849297) (← links)
- (Q4663674) (← links)
- Large Multi-scale Spatial Modeling Using Tree Shrinkage Priors (Q4986341) (← links)
- Sparse Cholesky Factorization by Kullback--Leibler Minimization (Q4997432) (← links)
- (Q5054610) (← links)
- Multi-Resolution Filters for Massive Spatio-Temporal Data (Q5066492) (← links)
- Scaled Vecchia Approximation for Fast Computer-Model Emulation (Q5097836) (← links)
- A Model for Large Multivariate Spatial Datasets (Q5226625) (← links)
- Smoothed Full-Scale Approximation of Gaussian Process Models for Computation of Large Spatial Datasets (Q5243733) (← links)
- Inference on fractal processes using multiresolution approximation (Q5449354) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← 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 neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation (Q6554236) (← links)
