Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
From MaRDI portal
Publication:1098490
DOI10.1016/0047-259X(88)90040-1zbMath0637.60065OpenAlexW2091300140MaRDI QIDQ1098490
Publication date: 1988
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(88)90040-1
Random fields (60G60) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items
Graph-based multivariate conditional autoregressive models, A spatial model for multivariate lattice data, Vector Random Fields with Second-Order Moments or Second-Order Increments, Multivariate spatial regression models, Nonstationary multivariate process modeling through spatially varying coregionalization, Image classification based on Markov random field models with Jeffreys divergence, TERRITORIAL RISK CLASSIFICATION USING SPATIALLY DEPENDENT FREQUENCY-SEVERITY MODELS, Unnamed Item, Some recent work on multivariate Gaussian Markov random fields, Rejoinder on: ``Some recent work on multivariate Gaussian Markov random fields, Analysis of multiple sclerosis lesions via spatially varying coefficients, A Bayesian approach to mixture cure models with spatial frailties for population-based cancer relative survival data, Statistical Implementations of Agent‐Based Demographic Models, Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA, Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties, On Sidorenko's conjecture for determinants and Gaussian Markov random fields, The measure on the original space from a product measure, Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior, On coregionalized multivariate Gaussian Markov random fields: construction, parameterization, and Bayesian estimation and inference, Estimation and extrapolation of time trends in registry data -- borrowing strength from related populations, Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models, Variogram calculations for random fields on regular lattices using quadrature methods, Multiway spectral clustering: a margin-based perspective, Structural equation models for area health outcomes with model selection, Modeling US housing prices by spatial dynamic structural equation models, Bayesian joint modeling of correlated counts data with application to adverse birth outcomes, Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion, Spatial analysis of auto-multivariate lattice data, The Endogenous Analysis of Flows, with Applications to Migrations, Social Mobility and Opinion Shifts, Spatial regression modeling for compositional data with many zeros, Variogram matrix functions for vector random fields with second-order increments, Stationary and isotropic vector random fields on spheres, Space-varying regression models: specifications and simulation, Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil, Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing, A comparison of Bayesian spatial models for disease mapping, A spatial analysis of multivariate output from regional climate models, High-dimensional order-free multivariate spatial disease mapping, Modelling geographically referenced survival data with a cure fraction, A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields, Approximating Hidden Gaussian Markov Random Fields, Modelling geographically referenced survival data with a cure fraction, Small Area Estimation via Multivariate Fay-Herriot Models with Latent Spatial Dependence, Efficient likelihood computations for some multivariate Gaussian Markov random fields, A note on discrete multivariate Markov random field models, Generalized Hierarchical Multivariate CAR Models for Areal Data, A spatial augmented beta regression model for periodontal proportion data, A bivariate CAR model for improving the estimation of relative risks, Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: An application to disease mapping, Bayesian Wombling for Spatial Point Processes, Multivariate parametric spatiotemporal models for county level breast cancer survival data, Bayesian multivariate spatial models for roadway traffic crash mapping
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Markov fields and log-linear interaction models for contingency tables
- Deterministic Gaussian Markov fields
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Spatial classification using fuzzy membership models
- Efficiency of pseudolikelihood estimation for simple Gaussian fields
- Necessary conditions for Markovian processes on a lattice
- On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems
- On Gaussian Fields with Given Conditional Distributions
- Two-dimensional discrete Markovian fields