A Markov Chain Monte Carlo Algorithm for Spatial Segmentation

Spatial data are very often heterogeneous, which indicates that there may not be a unique simple statistical model describing the data. To overcome this issue, the data can be segmented into a number of homogeneous regions (or domains). Identifying these domains is one of the important problems in s...

Full description

Bibliographic Details
Published in:	Information
Main Authors:	Nishanthi Raveendran, Georgy Sofronov
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Subjects:	Markov chain Monte Carlo Gibbs sampler spatial segmentation binary data
Online Access:	https://www.mdpi.com/2078-2489/12/2/58

Similar Items

IMPLEMENTASI METODE MARKOV CHAIN MONTE CARLO DALAM PENENTUAN HARGA KONTRAK BERJANGKA KOMODITAS
by: PUTU AMANDA SETIAWANI, et al.
Published: (2015-06-01)

A Markov Chain Monte Carlo Procedure for Efficient Bayesian Inference on the Phase-Type Aging Model
by: Cong Nie, et al.
Published: (2025-08-01)

Markov chain Monte Carlo Gibbs sampler approach for estimating haplotype frequencies among multiple malaria infected human blood samples
by: Gie Ken-Dror, et al.
Published: (2021-07-01)

A New MCMC Sampling Based Segment Model for Radar Target Recognition
by: M. Hadavi, et al.
Published: (2015-04-01)

Markov Chain Monte Carlo Methods Applied to a Synchronous Generator Model
by: Kushila Jayamanne, et al.
Published: (2023-01-01)

Comparison of methods for deriving phenotypes from incomplete observation data with an application to age at puberty in dairy cattle
by: Melissa A. Stephen, et al.
Published: (2023-09-01)

Multivariate-From-Univariate MCMC Sampler: The R Package MfUSampler
by: Alireza S. Mahani, et al.
Published: (2017-06-01)

An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations
by: W. M. Farr, et al.
Published: (2015-01-01)

A unique Markov chain Monte Carlo method for forecasting wind power utilizing time series model
by: Fuad S. Al-Duais, et al.
Published: (2023-07-01)

Variable Selection by Perfect Sampling
by: Huang Yufei, et al.
Published: (2002-01-01)

Optimization of distribution network reconfiguration based on Markov chain Monte Carlo method
by: Jiaqiao Li, et al.
Published: (2022-11-01)

The Effect of Average of the Stock return, Expected Growth, Profitability and Asset Structure of Peer Firms on Investment Management Strategy Using Markov chain Monte Carlo Simulation and Hierarchical Bayes
by: Mohammad Ebrahimi, et al.
Published: (2019-06-01)

Block-Wisely Supervised Network Pruning with Knowledge Distillation and Markov Chain Monte Carlo
by: Huidong Liu, et al.
Published: (2022-10-01)

Comparison between linear mixed model and threshold model in the estimation of variance components in age at first calving and milk production in buffaloes
by: Raimundo Nonato Colares Camargo-Júnior, et al.
Published: (2025-09-01)

Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study
by: Denitsa Staicova
Published: (2025-02-01)

Non-parametric MCMC Gibbs sampler approach and misclassification assessment of estimating haplotype frequencies among related statistical approaches
by: Gie Ken-Dror
Published: (2022-10-01)

Sample caching Markov chain Monte Carlo approach to boson sampling simulation
by: Yong Liu, et al.
Published: (2020-01-01)

A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics
by: Sorensen Daniel, et al.
Published: (2008-03-01)

Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures
by: Francesco Bruni Prenestino, et al.
Published: (2025-02-01)

Study of Jupiter’s Interior with Quadratic Monte Carlo Simulations
by: Burkhard Militzer
Published: (2023-01-01)

Markov chain Monte Carlo for active module identification problem
by: Nikita Alexeev, et al.
Published: (2020-11-01)

A SAS Macro for Automated Stopping of Markov Chain Monte Carlo Estimation in Bayesian Modeling with PROC MCMC
by: Wolfgang Wagner, et al.
Published: (2023-09-01)

Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling
by: Frederik Banis, et al.
Published: (2020-06-01)

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo
by: Zhang Jiang, et al.
Published: (2022-05-01)

Calibration and Uncertainty Analysis of Freundlich and Langmuir Isotherms Using the Markov Chain Monte Carlo (MCMC) Approach
by: Haniyeh Sharifi Moghadam, et al.
Published: (2024-10-01)

CU-MSDSp: A flexible parallelized Reversible jump Markov chain Monte Carlo method
by: John Taylor Chavis, III, et al.
Published: (2021-06-01)

Adsorption of terbium ion on Fc/dymethylacrylamide: application of Monte Carlo simulation
by: Norma Aurea Rangel Vázquez

Markov Chain Monte Carlo based inverse modeling of traffic flows using GPS data
by: Olli-Pekka Tossavainen, et al.
Published: (2013-10-01)

Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing
by: Ilya Burtakov, et al.
Published: (2025-01-01)

Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
by: Simone Ciarella, et al.
Published: (2023-01-01)

A kernel mixing strategy for use in adaptive Markov chain Monte Carlo and stochastic optimization contexts
by: Graham West, et al.
Published: (2022-08-01)

Validation of Ice Cloud Microphysical Properties Retrieval Using a Markov Chain Monte Carlo Algorithm
by: Xia Ding, et al.
Published: (2021-08-01)

Inference of genomic landscapes using ordered Hidden Markov Models with emission densities (oHMMed)
by: Claus Vogl, et al.
Published: (2024-04-01)

Bayesian connective field modeling using a Markov Chain Monte Carlo approach
by: Azzurra Invernizzi, et al.
Published: (2022-12-01)

Quantum mixing of Markov chains for special distributions
by: V Dunjko, et al.
Published: (2015-01-01)

Optimizing climate related global development pathways in the global calculator using Monte Carlo Markov chains and genetic algorithms
by: Jorge Garcia, et al.
Published: (2022-01-01)

Probabilistic estimation method for frequency response function level of noise and vibration on operational transfer path analysis using Markov Chain Monte Carlo Method
by: Daisuke MUTO, et al.
Published: (2019-10-01)

Alternative implementations of Monte Carlo EM algorithms for likelihood inferences
by: Sorensen Daniel, et al.
Published: (2001-07-01)

A combined Markov Chain Monte Carlo and Levenberg–Marquardt inversion method for heterogeneous subsurface reservoir modeling
by: Jarbas A. Fernandes, et al.
Published: (2024-09-01)

Monte Carlo Simulation and Applications
by: Abd Al Kareem I Sheet, et al.
Published: (2012-12-01)