An Introduction to Spatial Point Processes and Markov Random Fields
From MaRDI portal
Publication:3906883
DOI10.2307/1403035zbMath0457.60078OpenAlexW2053041513MaRDI QIDQ3906883
Publication date: 1981
Published in: International Statistical Review / Revue Internationale de Statistique (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/1403035
Ising modelMarkov random fieldGibbs statespatial point processlattice processnearest neighbour potentialspatial-temporal evolution
Interacting random processes; statistical mechanics type models; percolation theory (60K35) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Markov processes (60J99)
Related Items
Logical and algorithmic properties of independence and their application to Bayesian networks, Stable reconstruction of simple Riemannian manifolds from unknown interior sources, On a hypergraph probabilistic graphical model, Mechanical Analogy of Statement Networks, Learning from imprecise data: possibilistic graphical models., A review of Gaussian Markov models for conditional independence, A test for multidimensional clustering tendency, Some challenges for statistics, Probabilistic Independence Networks for Hidden Markov Probability Models, Holonomy and path structures in general relativity and Yang-Mills theory, Operations and evaluation measures for learning possibilistic graphical models