Pages that link to "Item:Q4632667"

The following pages link to A Full Scale Approximation of Covariance Functions for Large Spatial Data Sets (Q4632667):

Displaying 50 items.

• Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity (Q92247) (← links)
• The Rational SPDE Approach for Gaussian Random Fields With General Smoothness (Q160195) (← links)
• An approximate likelihood function of spatial correlation parameters (Q287412) (← links)
• Approximate Bayesian inference for large spatial datasets using predictive process models (Q434887) (← links)
• A multi-resolution approximation via linear projection for large spatial datasets (Q825323) (← links)
• Krigings over space and time based on latent low-dimensional structures (Q829391) (← links)
• Spatial data compression via adaptive dispersion clustering (Q1662049) (← links)
• On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
• Multi-rubric models for ordinal spatial data with application to online ratings data (Q1728631) (← links)
• Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil (Q1752000) (← links)
• Competition on spatial statistics for large datasets (Q2084448) (← links)
• Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
• Probabilistic forecasts of arctic sea ice thickness (Q2163520) (← links)
• Multi-scale process modelling and distributed computation for spatial data (Q2209724) (← links)
• Bayesian inference of spatio-temporal changes of arctic sea ice (Q2226700) (← links)
• A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
• A random features-based method for interpolating digital terrain models with high efficiency (Q2292245) (← links)
• Bayesian nonstationary Gaussian process models via treed process convolutions (Q2324262) (← links)
• Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions (Q2374734) (← links)
• Likelihood approximation with hierarchical matrices for large spatial datasets (Q2416774) (← links)
• Matérn-based nonstationary cross-covariance models for global processes (Q2451624) (← links)
• Bayesian Spatial Survival Models (Q2800198) (← links)
• Hierarchical Low Rank Approximation of Likelihoods for Large Spatial Datasets (Q3391136) (← links)
• A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models (Q3391151) (← links)
• Heteroscedastic BART via Multiplicative Regression Trees (Q3391438) (← links)
• Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations (Q4601605) (← links)
• An Efficient Approximation of Spatial Correlation Based on Gauss–Hermite Quadrature (Q4621571) (← links)
• Multivariate modelling of spatial extremes based on copulas (Q4960693) (← links)
• A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data (Q4962423) (← links)
• Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments^† (Q4970245) (← links)
• Sparse Cholesky Factorization by Kullback--Leibler Minimization (Q4997432) (← links)
• (Q5054610) (← links)
• A Fused Gaussian Process Model for Very Large Spatial Data (Q5065995) (← links)
• An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model (Q5066475) (← links)
• A Vecchia approximation for high-dimensional Gaussian cumulative distribution functions arising from spatial data (Q5086084) (← links)
• A Monte Carlo approach to quantifying discrepancies between intractable posterior distributions (Q5106878) (← links)
• (Q5149246) (← links)
• Multivariate Spline Estimation and Inference for Image-on-Scalar Regression (Q5155196) (← links)
• Emulating Satellite Drag from Large Simulation Experiments (Q5237174) (← links)
• Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets (Q5242448) (← links)
• Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
• An adaptive spatial model for precipitation data from multiple satellites over large regions (Q5962747) (← links)
• A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← links)
• Bayesian latent variable co-kriging model in remote sensing for quality flagged observations (Q6050918) (← links)
• Bayesian nonstationary spatial modeling for very large datasets (Q6069068) (← links)
• Constructing valid spatial processes on the sphere using kernel convolutions (Q6069106) (← links)
• A Clustered Gaussian Process Model for Computer Experiments (Q6086170) (← links)
• On Some Characteristics of Gaussian Covariance Functions (Q6088250) (← links)
• Distributed Bayesian inference in massive spatial data (Q6111472) (← links)
• Confidence regions for the level curves of spatial data (Q6139090) (← links)