Pages that link to "Item:Q68580"

The following pages link to An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (Q68580):

Displaying 50 items.

• Circuit Theory and Model-Based Inference for Landscape Connectivity (Q4916923) (← links)
• Hierarchical Factor Models for Large Spatially Misaligned Data: A Low‐Rank Predictive Process Approach (Q4919554) (← links)
• Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation (Q4956916) (← links)
• Diagnostics-Driven Nonstationary Emulators Using Kernel Mixtures (Q4960981) (← links)
• Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments^† (Q4970245) (← links)
• Multilevel quasi-Monte Carlo integration with product weights for elliptic PDEs with lognormal coefficients (Q4972102) (← links)
• Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q4997424) (← links)
• Sparse Cholesky Factorization by Kullback--Leibler Minimization (Q4997432) (← links)
• (Q4999044) (← links)
• Semivariogram methods for modeling Whittle–Matérn priors in Bayesian inverse problems (Q5000601) (← links)
• Multilevel Spectral Coarsening for Graph Laplacian Problems with Application to Reservoir Simulation (Q5005206) (← links)
• Multilevel Quasi Monte Carlo Methods for Elliptic PDEs with Random Field Coefficients via Fast White Noise Sampling (Q5010235) (← links)
• Physics Information Aided Kriging using Stochastic Simulation Models (Q5015299) (← links)
• Graph-based prior and forward models for inverse problems on manifolds with boundaries (Q5030164) (← links)
• Bayesian inference for high-dimensional nonstationary Gaussian processes (Q5033449) (← links)
• A spatial–temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space–time model (Q5037053) (← links)
• Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain) (Q5037069) (← links)
• Modeling material stress using integrated Gaussian Markov random fields (Q5037092) (← links)
• Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations (Q5041347) (← links)
• Coupling Techniques for Nonlinear Ensemble Filtering (Q5044993) (← links)
• Boltzmann–Gibbs Random Fields with Mesh-free Precision Operators Based on Smoothed Particle Hydrodynamics (Q5047940) (← links)
• Spatiotemporal covariance functions for Laplacian ARMA fields in higher dimensions (Q5047943) (← links)
• Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy (Q5052906) (← links)
• (Q5053249) (← links)
• (Q5054610) (← links)
• Sampling Strategies for Fast Updating of Gaussian Markov Random Fields (Q5055469) (← links)
• Making Recursive Bayesian Inference Accessible (Q5056965) (← links)
• A Fused Gaussian Process Model for Very Large Spatial Data (Q5065995) (← links)
• Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models (Q5066383) (← links)
• Improving Bayesian Local Spatial Models in Large Datasets (Q5066391) (← links)
• Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso (Q5066402) (← links)
• Multi-Resolution Filters for Massive Spatio-Temporal Data (Q5066492) (← links)
• Surface Finite Element Approximation of Spherical Whittle--Matérn Gaussian Random Fields (Q5071449) (← links)
• Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria (Q5074896) (← links)
• Effective Generation of Compressed Stationary Gaussian Fields (Q5075233) (← links)
• Gaussian random fields: with and without covariances (Q5080403) (← links)
• Certified dimension reduction in nonlinear Bayesian inverse problems (Q5082037) (← links)
• Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database (Q5082758) (← links)
• On the choice of the mesh for the analysis of geostatistical data using R-INLA (Q5085574) (← links)
• Bayesian computation for Log-Gaussian Cox processes: a comparative analysis of methods (Q5106925) (← links)
• Multilevel approximation of Gaussian random fields: Fast simulation (Q5112023) (← links)
• Scalable Optimization-Based Sampling on Function Space (Q5112552) (← links)
• Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions (Q5119635) (← links)
• Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors (Q5120655) (← links)
• Large-scale Bayesian spatial modelling of air pollution for policy support (Q5128962) (← links)
• An investigation of the impact of various geographical scales for the specification of spatial dependence (Q5130548) (← links)
• Hierarchical Bayesian modeling of marked non-homogeneous Poisson processes with finite mixtures and inclusion of covariate information (Q5130552) (← links)
• A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis (Q5130592) (← links)
• Estimation and Inference for Generalized Geoadditive Models (Q5130621) (← links)
• Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models (Q5130628) (← links)