On estimation in binary autologistic spatial models

DOI10.1080/00949650412331320873zbMath1088.62069OpenAlexW2017265378MaRDI QIDQ5290889

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Publication date: 3 May 2006

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650412331320873

zbMATH Keywords

bootstrapresamplingmaximum likelihoodcodingspatial modelspseudo likelihoodMonte Carlo maximum likelihoodautologistic

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (16)

Approximate computations for binary Markov random fields and their use in Bayesian models ⋮ Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants ⋮ A Bayesian hierarchical spatial model for dental caries assessment using non-Gaussian Markov random fields ⋮ Parameter estimation in the spatial auto-logistic model with working independent subblocks ⋮ A comparison of adaptive sampling designs and binary spatial models : a simulation study using a census of Bromus inermis ⋮ Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data ⋮ Selection of Proposal Distributions for Multiple Importance Sampling ⋮ 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 Monte Carlo Metropolis-Hastings Algorithm for Sampling from Distributions with Intractable Normalizing Constants ⋮ A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants ⋮ A model for analyzing spatially correlated binary data clustered in uncorrelated lattices ⋮ Variable selection for market basket analysis ⋮ An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model ⋮ A method for bias-reduction of sample-based MLE of the autologistic model ⋮ A multiple-try Metropolis-Hastings algorithm with tailored proposals ⋮ Prior specification for binary Markov mesh models

Cites Work

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• Approximate Bayes model selection procedures for Gibbs-Markov random fields
• On Confidence Intervals for Spatial Parameters Estimated from Nonreplicated Data
• Inference for Discrete Markov Fields: The Simplest Nontrivial Case
• Nonparametric Estimation of the Moments of a General Statistic Computed from Spatial Data
• Window Subsampling of Estimating Functions with Application to Regression Models
• Markov Chain Monte Carlo for Autologistic Regression Models with Application to the Distribution of Plant Species

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