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Interacting neighbour point processes: Some models for clustering

https://doi.org/10.1080/00949650108812059
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118658222openalex-snapshot
Stochastic Geometry and its Applications
inferredcites →https://doi.org/10.1007/bf01856536openalex-snapshot
Area-interaction point processes
inferredcites →https://doi.org/10.1017/s0001867800009137openalex-snapshot
Quermass-interaction processes: conditions for stability
inferredcites →https://doi.org/10.1017/s0001867800048503openalex-snapshot
Markov properties of cluster processes
inferredcites →https://doi.org/10.1017/s0021900200027959openalex-snapshot
A spatial Markov property for nearest-neighbour Markov point processes
inferredcites →https://doi.org/10.1063/1.1673203openalex-snapshot
New Model for the Study of Liquid–Vapor Phase Transitions
inferredcites →https://doi.org/10.1080/01621459.1995.10476590openalex-snapshot
Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
inferredcites →https://doi.org/10.1080/15326349808807496openalex-snapshot
Shot-noise-weighted processes : a new family of spatial point processes
inferredcites →https://doi.org/10.1080/15326349908807533openalex-snapshot
Spatial delaunay gibbs point processes
inferredcites →https://doi.org/10.1093/biomet/62.2.467openalex-snapshot
A Model for Clustering
inferredcites →https://doi.org/10.1093/biomet/63.2.357openalex-snapshot
A Note on Strauss's Model for Clustering
inferredcites →https://doi.org/10.1093/forestscience/38.4.806openalex-snapshot
Marked Point Processes in Forest Statistics
inferredcites →https://doi.org/10.1103/physrevb.26.2677openalex-snapshot
Potts-model formulation of continuum percolation
inferredcites →https://doi.org/10.1109/18.746786openalex-snapshot
Asymptotic distributions for the performance analysis of hypothesis testing of isolated-point-penalization point processes
inferredcites →https://doi.org/10.1109/isit.1995.550408openalex-snapshot
A two-step Markov point process
inferredcites →https://doi.org/10.1111/1467-9469.00115openalex-snapshot
Log Gaussian Cox Processes
inferredcites →https://doi.org/10.1111/j.2517-6161.1992.tb01443.xopenalex-snapshot
Constrained Monte Carlo Maximum Likelihood for Dependent Data
inferredcites →https://doi.org/10.1112/jlms/s2-15.1.188openalex-snapshot
Markov Point Processes
inferredcites →https://doi.org/10.1142/4090#t=tocopenalex-snapshot
Statistical Mechanics: Rigorous Results
inferredcites →https://doi.org/10.1142/p060openalex-snapshot
Markov Point Processes and Their Applications
inferredcites →https://doi.org/10.2307/1403381openalex-snapshot
Nearest-Neighbour Markov Point Processes and Random Sets
inferredcites →https://doi.org/10.2307/2288885openalex-snapshot
Stochastic Geometry and Its Applications.
inferredcites →https://doi.org/10.2307/2669808openalex-snapshot
Stochastic Geometry Likelihood and Computation
inferredcites →https://doi.org/10.2307/2983497openalex-snapshot
Fractals, Random Shapes and Point Fields.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3215945openalex-extracted
Forecasting Market States
inferred← citeshttps://doi.org/10.1002/bimj.200800109openalex-snapshot
Modelling Tree Roots in Mixed Forest Stands by Inhomogeneous Marked Gibbs Point Processes
inferred← citeshttps://doi.org/10.1002/bimj.201600212openalex-snapshot
Characterizing cross‐subject spatial interaction patterns in functional magnetic resonance imaging studies: A two‐stage point‐process model
inferred← citeshttps://doi.org/10.1007/978-3-030-24528-3_5openalex-snapshot
Spatial and Individual-Based Modelling
inferred← citeshttps://doi.org/10.1007/s11003-016-9890-8openalex-snapshot
Modeling of the Propagation of Pitting Corrosion by Point Processes
inferred← citeshttps://doi.org/10.1007/s40808-022-01554-9openalex-snapshot
Higher order Gibbs point process modeling of 2005-Kashmir earthquakes
inferred← citeshttps://doi.org/10.1007/s40808-023-01940-xopenalex-snapshot
Modeling spatial distribution of earthquake epicenters using inhomogeneous Log-Gaussian Cox point process
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2009.02.021openalex-snapshot
Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2014.06.002openalex-snapshot
Incorporating the mechanisms underlying inter-tree competition into a random point process model to improve spatial tree pattern analysis in forestry
inferred← citeshttps://doi.org/10.1016/j.spasta.2015.03.001openalex-snapshot
Spatial pattern development of selective logging over several years
inferred← citeshttps://doi.org/10.1016/j.spl.2004.02.003openalex-snapshot
Mixture formulae for shot noise weighted point processes
inferred← citeshttps://doi.org/10.1080/14697688.2019.1622313openalex-snapshot
Forecasting market states
inferred← citeshttps://doi.org/10.1093/biomet/89.2.411openalex-snapshot
Goodness-of-fit test for complete spatial randomness against mixtures of regular and clustered spatial point processes
inferred← citeshttps://doi.org/10.1111/1467-9574.00227openalex-snapshot
The Candy model: properties and inference
inferred← citeshttps://doi.org/10.1111/j.1467-9469.2008.00612.xopenalex-snapshot
The Multi‐scale Marked Area‐interaction Point Process: A Model for the Spatial Pattern of Trees
inferred← citeshttps://doi.org/10.1111/j.1467-9868.2005.00519.xopenalex-snapshot
Residual Analysis for Spatial Point Processes (with Discussion)
inferred← citeshttps://doi.org/10.1111/j.1600-0706.2010.18440.xopenalex-snapshot
Spatial pattern of central African rainforests can be predicted from average tree size
inferred← citeshttps://doi.org/10.1111/rssc.12281openalex-snapshot
Detecting Multivariate Interactions in Spatial Point Patterns with Gibbs Models and Variable Selection
inferred← citeshttps://doi.org/10.3103/s0027132212020015openalex-snapshot
A model of point configurations given by a semiparametric interaction
inferred← citeshttps://doi.org/10.3390/f12060740openalex-snapshot
Modelling the Spatial Structure of White Spruce Plantations and Their Changes after Various Thinning Treatments
inferred← citeshttps://doi.org/10.61102/1024-2953-mprf.2023.29.4.006openalex-snapshot
Probabilistic Models Motivated by Cooperative Sequential Adsorption
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