Markov Random Fields and Their Applications

From MaRDI portal
Publication:3106255

DOI10.1090/conm/001zbMath1229.60003OpenAlexW1567885833MaRDI QIDQ3106255

J. Laurie Snell, Ross P. Kindermann

Publication date: 20 December 2011

Published in: Contemporary Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1090/conm/001



Related Items

Are hidden-variable theories for pilot-wave systems possible?, A segmentation approach for stochastic geological modeling using hidden Markov random fields, Prior specification of neighbourhood and interaction structure in binary Markov random fields, A hybrid random field model for scalable statistical learning, Spatial Modeling of Regional Variables, Objective Bayesian edge screening and structure selection for Ising networks, An expectation maximization algorithm for high-dimensional model selection for the Ising model with misclassified states*, Statistics, images, and pattern recognition, Outperforming the Gibbs sampler empirical estimator for nearest-neighbor random fields, Optimal closed boundary identification in gray-scale imagery, Nonstationary Markov chains and convergence of the annealing algorithm, A geometric projection-space reconstruction algorithm, Graphical models for imprecise probabilities, Probabilistic reasoning and probabilistic neural networks, Cooperative ``folding transition in the sequence space facilitates function-driven evolution of protein families, Modelling and estimation of social interaction effects in new product diffusion, Quantum machine learning: a classical perspective, Non-parametric regression for spatially dependent data with wavelets, A calculus of stochastic systems for the specification, simulation, and hidden state estimation of mixed stochastic/nonstochastic systems, Reversibility and equivalence in directed Markov fields, Variations on the Ising problem, Estimation for hidden Markov random fields, Knowledge graphs completion via probabilistic reasoning, Automatic emergence detection in complex systems, Face pixel detection using evidential calibration and fusion, Orthogonal series estimates on strong spatial mixing data, Graphical Markov models for infinitely many variables, A model and a numerical scheme for the description of distribution and abundance of individuals, On the emergence of social conventions: modeling, analysis, and simulations, Multibody dynamic systems as Bayesian networks: Applications to robust state estimation of mechanisms, Sparse inverse covariance estimation for high-throughput microRNA sequencing data in the Poisson log-normal graphical model, Reciprocal properties of random fields on undirected graphs, Decentralized coordination of autonomous swarms using parallel Gibbs sampling, Correlation matrices of Gaussian Markov random fields over cycle graphs, Mean field dynamics of stochastic cellular automata for random and small-world graphs, Intrachromosomal regulation decay in breast cancer, Mixed nondeterministic-probabilistic automata: blending graphical probabilistic models with nondeterminism, Statistical reconstruction and Karhunen-Loève expansion for multiphase random media, When is the naive Bayes approximation not so naive?, Adapting connectionist learning to Bayes networks, Global Sensitivity Analysis for Statistical Model Parameters, Joint source-decoding in large scale sensor networks using Markov random field models, Iterative simulation methods, Structured prediction by joint kernel support estimation, Construction of a Markov field on an infinite tree, Cellular automaton modeling of epidemics, Perceptual grouping of segmented regions in color images., INFINITE DIMENSIONAL STATIONARY RANDOM FIELDS OVER A LOCALLY COMPACT ABELIAN GROUP, Statistical pattern recognition in remote sensing, On the influence of the prior distribution in image reconstruction, New macroeconomic modeling approaches, A statistical mechanic view of macro-dynamics in economics, Construction of binary multi-grid Markov random field prior models from training images, A Review of Estimation of Distribution Algorithms and Markov Networks, DEUM - Distribution Estimation Using Markov Networks, Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure, A survey on learning approaches for undirected graphical models. Application to scene object recognition, GIBBS MEASURES ON CAYLEY TREES: RESULTS AND OPEN PROBLEMS, Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes, Information integration from distributed threshold-based interactions, Rational expectations equilibria of economies with local interactions, Exact marginals and normalizing constant for Gibbs distributions, Geography of local configurations, On the relation between Markov random fields and social networks*, Pattern recogniton using Markov random field models, Security and trust for wireless autonomic networks. Systems and control methods, On the connection between weak and strong convergence in a Banach space containing $\ell_1$, A uniqueness condition for Gibbs measures, with application to the 2- dimensional Ising antiferromagnet, Modeling protein cores with Markov random fields, Evolutionary games with two timescales, A review of Gaussian Markov models for conditional independence, Unnamed Item, A random asymmetric temporal model of multi-agent interactions: dynamical analysis, DISCRETE CHOICES UNDER SOCIAL INFLUENCE: GENERIC PROPERTIES, Spectral estimation of a structural thin-plate smoothing model, On Ising model with four competing interactions on Cayley tree, The Ising model and percolation on trees and tree-like graphs, Ising model on the Cayley tree of second order with left and right interactions, Forty Years of Model-Based Phylogeography, The exact solution of spatial logit response games, Prior specification for binary Markov mesh models, Unnamed Item, Characterizing the manifest probability distributions of three latent trait models for accuracy and response time, The positive rates problem for attractive nearest neighbor spin systems on ?, Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models, Ensemble updating of categorical state vectors, High-dimensional Ising model selection with Bayesian information criteria, Spatio-temporal model for multiple ChIP-seq experiments, Natural and smoothing quadratic spline. (An elementary approach)