Pages that link to "Item:Q765994"
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The following pages link to Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors (Q765994):
Displaying 26 items.
- Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes (Q104464) (← links)
- Cross-covariance functions for multivariate geostatistics (Q254420) (← links)
- Modeling complex spatial dependencies: low-rank spatially varying cross-covariances with application to soil nutrient data (Q486034) (← links)
- Parallel inference for massive distributed spatial data using low-rank models (Q518241) (← links)
- Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data (Q830598) (← links)
- Time-varying correlation structure estimation and local-feature detection for spatio-temporal data (Q1795586) (← links)
- Multi-scale Vecchia approximations of Gaussian processes (Q2102959) (← links)
- Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
- Spatial regression with non-parametric modeling of Fourier coefficients (Q2151603) (← 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)
- Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions (Q2374734) (← links)
- Matérn-based nonstationary cross-covariance models for global processes (Q2451624) (← links)
- Multivariate modelling of spatial extremes based on copulas (Q4960693) (← links)
- Rejoinder (Q5965435) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← links)
- Bayesian nonstationary spatial modeling for very large datasets (Q6069068) (← links)
- A Bayesian spatial factor analysis approach for combining climate model ensembles (Q6139089) (← links)
- Bayesian modeling of discrete-time point-referenced spatio-temporal data (Q6149602) (← links)
- Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference (Q6172908) (← links)
- Scalable computations for nonstationary Gaussian processes (Q6173565) (← links)
- Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework (Q6548804) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
- Regularity theory for a new class of fractional parabolic stochastic evolution equations (Q6606155) (← links)
- A large-scale spatio-temporal binomial regression model for estimating seroprevalence trends (Q6626025) (← links)
- Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (Q6626522) (← links)
