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.

• Hierarchical Bayesian modeling of ocean heat content and its uncertainty (Q2080773) (← links)
• Spatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017 (Q2089373) (← links)
• The SPDE approach to Matérn fields: graph representations (Q2092895) (← links)
• Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate (Q2096832) (← links)
• Multi-scale Vecchia approximations of Gaussian processes (Q2102959) (← links)
• A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in Mid-Scandinavia (Q2102978) (← links)
• Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution (Q2102980) (← links)
• \(\pi\) VAE: a stochastic process prior for Bayesian deep learning with MCMC (Q2103969) (← links)
• Non-homogeneous Poisson process intensity modeling and estimation using measure transport (Q2108510) (← links)
• Sequential ensemble transform for Bayesian inverse problems (Q2127151) (← links)
• Cauchy Markov random field priors for Bayesian inversion (Q2128078) (← links)
• A fast direct solver for nonlocal operators in wavelet coordinates (Q2128345) (← links)
• Optimal design of acoustic metamaterial cloaks under uncertainty (Q2128381) (← links)
• Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces (Q2131265) (← links)
• A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data (Q2135343) (← links)
• A functional-data approach to the Argo data (Q2135351) (← links)
• Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: stochastic modeling, identification, and propagation (Q2136730) (← links)
• Stochastic analysis of geometrically imperfect thin cylindrical shells using topology-aware uncertainty models (Q2138801) (← links)
• Bayesian multiresolution modeling of georeferenced data: an extension of `LatticeKrig' (Q2143023) (← links)
• Smart gradient - an adaptive technique for improving gradient estimation (Q2148955) (← links)
• Spatial regression with non-parametric modeling of Fourier coefficients (Q2151603) (← links)
• Dyadic diagonalization of positive definite band matrices and efficient \(B\)-spline orthogonalization (Q2151622) (← links)
• Approximate Bayesian inference for analysis of spatiotemporal flood frequency data (Q2154186) (← links)
• Gaussian graphical modeling for spectrometric data analysis (Q2157502) (← links)
• Spatial distribution of invasive species: an extent of occurrence approach (Q2161020) (← links)
• Probabilistic forecasts of arctic sea ice thickness (Q2163520) (← links)
• Hyperparameter estimation in Bayesian MAP estimation: parameterizations and consistency (Q2188103) (← links)
• Efficient spatio-temporal Gaussian regression via Kalman filtering (Q2188275) (← links)
• Posterior inference for sparse hierarchical non-stationary models (Q2189583) (← links)
• Compression of climate simulations with a nonstationary global spatiotemporal SPDE model (Q2194444) (← links)
• A memory-free spatial additive mixed modeling for big spatial data (Q2195533) (← links)
• Inference and computation with generalized additive models and their extensions (Q2195738) (← links)
• Multi-scale process modelling and distributed computation for spatial data (Q2209724) (← links)
• Localization for MCMC: sampling high-dimensional posterior distributions with local structure (Q2214525) (← links)
• Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty (Q2214671) (← links)
• Regularity and convergence analysis in Sobolev and Hölder spaces for generalized Whittle-Matérn fields (Q2217871) (← links)
• LGM split sampler: an efficient MCMC sampling scheme for latent Gaussian models (Q2218042) (← links)
• PC priors for residual correlation parameters in one-factor mixed models (Q2220301) (← links)
• High-fidelity hurricane surge forecasting using emulation and sequential experiments (Q2233188) (← links)
• Linking physics and spatial statistics: a new family of Boltzmann-Gibbs random fields (Q2233567) (← links)
• Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries (Q2237736) (← links)
• Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework (Q2242020) (← links)
• Stochastic modeling and identification of material parameters on structures produced by additive manufacturing (Q2246396) (← links)
• A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
• Improved return level estimation via a weighted likelihood, latent spatial extremes model (Q2272998) (← links)
• A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting (Q2273005) (← links)
• Strong convergence analysis of iterative solvers for random operator equations (Q2279182) (← links)
• Spectral simulation of isotropic Gaussian random fields on a sphere (Q2282003) (← links)
• Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields (Q2291296) (← links)
• Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction (Q2291528) (← links)