Pseudo-likelihood equations for Potts model on higher-order neighborhood systems: a quantitative approach for parameter estimation in image analysis
type: Item
instance of: scholarly article
title: Pseudo-likelihood equations for Potts model on higher-order neighborhood systems: a quantitative approach for parameter estimation in image analysis
zbMATH Open document ID: 1298.94013
DOI: 10.1214/08-BJPS018
author: Alexandre L. M. Levada
author: Nelson D. A. Mascarenhas
author: Alberto Tannús
published in: Brazilian Journal of Probability and Statistics
publication date: 2014-10-29T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.bjps/1256562754
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 62H35
zbMATH DE Number: 6362467
describes a project that uses: BRENT
MaRDI profile type: Publication
cites work: Q4844975
cites work: Q4834832
cites work: Q4092750
cites work: Q3750011
cites work: Q5657612
cites work: Q3996777
cites work: Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
cites work: Susceptibility amplitudes for the three- and four-state Potts models
cites work: KNOT THEORY, PARTITION FUNCTION AND FRACTALS
cites work: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
cites work: On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes
cites work: Q4515174
cites work: Q3672893
cites work: Q2739738
cites work: Probabilistic Solution of Ill-Posed Problems in Computational Vision
cites work: Improving the realism of the cellular Potts model in simulations of biological cells
cites work: Q4793015
cites work: JONES POLYNOMIAL AS A POTTS MODEL PARTITION FUNCTION
OpenAlex ID: W1967517023
description: scientific article; zbMATH DE number 6362467