Sample-based Maximum Likelihood Estimation of the Autologistic Model
From MaRDI portal
Publication:5123267
DOI10.1080/02664760701234967OpenAlexW2065171914MaRDI QIDQ5123267
No author found.
Publication date: 28 September 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760701234967
Related Items (4)
Analysis of clustered spatially correlated binary data using autologistic model and Bayesian method with an application to dental caries of 3–5-year-old children ⋮ A model for analyzing spatially correlated binary data clustered in uncorrelated lattices ⋮ Variable selection for market basket analysis ⋮ A method for bias-reduction of sample-based MLE of the autologistic model
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Efficient recursions for general factorisable models
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
- Efficiency of pseudolikelihood estimation for simple Gaussian fields
- A recursive algorithm for Markov random fields
- Hidden Markov Models and Disease Mapping
- Markow chain markov field dynamics:models and statistics
- Markov Chain Monte Carlo for Autologistic Regression Models with Application to the Distribution of Plant Species
- Efficient Calculation of the Normalizing Constant of the Autologistic and Related Models on the Cylinder and Lattice
- Modelling Spatial Patterns of Trees Attacked by Bark-Beetles
- On Parameter Estimation for Pairwise Interaction Point Processes
- Estimating Distribution Maps from Atlas Data Using Methods of Statistical Image Analysis
- An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
- Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
This page was built for publication: Sample-based Maximum Likelihood Estimation of the Autologistic Model