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.

• A Fast Tunable Blurring Algorithm for Scattered Data (Q5132031) (← links)
• Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds (Q5139358) (← links)
• Adaptive regularisation for ensemble Kalman inversion (Q5148433) (← links)
• Quantification of annual wildfire risk; A spatio-temporal point process approach. (Q5148616) (← links)
• (Q5148978) (← links)
• (Q5149246) (← links)
• Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems (Q5149778) (← links)
• Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know (Q5149782) (← links)
• Non-stationary multi-layered Gaussian priors for Bayesian inversion (Q5150818) (← links)
• Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity (Q5154215) (← links)
• Multivariate Spline Estimation and Inference for Image-on-Scalar Regression (Q5155196) (← links)
• Posterior consistency of semi-supervised regression on graphs (Q5157865) (← links)
• Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters (Q5158925) (← links)
• Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q5161745) (← links)
• On some descriptive and predictive methods for the dynamics of cancer growth (Q5163401) (← links)
• Stochastic dynamic models and Chebyshev splines (Q5175766) (← links)
• INLA or MCMC? A tutorial and comparative evaluation for spatial prediction in log-Gaussian Cox processes (Q5219491) (← links)
• A Statistical Framework for Generating Microstructures of Two-Phase Random Materials: Application to Fatigue Analysis (Q5222113) (← links)
• Generalized spatial regression with differential regularization (Q5222495) (← links)
• Constructing Priors that Penalize the Complexity of Gaussian Random Fields (Q5229926) (← links)
• Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields (Q5237181) (← links)
• Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets (Q5242448) (← links)
• Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems (Q5372617) (← links)
• Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems (Q5372624) (← links)
• A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields (Q5372642) (← links)
• Scheduling Massively Parallel Multigrid for Multilevel Monte Carlo Methods (Q5372658) (← links)
• Estimating Spatial Changes Over Time of Arctic Sea Ice using Hidden 2×2 Tables (Q5377196) (← links)
• Stochastic Partial Differential Equation Based Modelling of Large Space–Time Data Sets (Q5379896) (← links)
• Space‐time modelling of trends in temperature series (Q5495684) (← links)
• Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets (Q5739794) (← links)
• Data-free likelihood-informed dimension reduction of Bayesian inverse problems (Q5859742) (← links)
• Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation (Q5862897) (← links)
• Missing data analysis and imputation via latent Gaussian Markov random fields (Q5870740) (← links)
• Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference (Q5880609) (← links)
• Statistical Finite Elements via Langevin Dynamics (Q5880613) (← links)
• A Mechanistic Model of Annual Sulfate Concentrations in the United States (Q5881111) (← links)
• Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes (Q5881150) (← links)
• Approximation of the Spectral Fractional Powers of the Laplace-Beltrami Operator (Q5885667) (← links)
• On global normal linear approximations for nonlinear Bayesian inverse problems (Q5886385) (← links)
• Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
• Fast matrix computations for functional additive models (Q5963540) (← links)
• Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm (Q5965041) (← links)
• Wind energy: forecasting challenges for its operational management (Q5965042) (← links)
• Comments on: ``Comparing and selecting spatial predictors using local criteria'' (Q5971082) (← 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)
• A shared latent process model to correct for preferential sampling in disease surveillance systems (Q6050931) (← links)
• Spatial regression and spillover effects in cluster randomized trials with count outcomes (Q6050956) (← links)
• Finite element discretizations for variable-order fractional diffusion problems (Q6053001) (← links)
• Empirical orthogonal maps (EOM) and principal spatial patterns: illustration for octopus distribution off Mauritania over the period 1987--2017 (Q6062091) (← links)