1994 · 342 citations · 21 references
ComputingGeoinformaticsSpatial Data AnalysisSpatial ModelingSpatial StatisticsGeostatistical AnalysisGeostatistical ModelingPoint ProcessesSpatial Point ProcessesSpatial SimulationSpatial Statistical ModelingBirth-death ModelsConditional LikelihoodLikelihood InferenceLikelihood-based InferenceMaximum Likelihood InferencePoint Process InferencePoint Process SimulationSpatial Point Process Modeling
An alternative algorithm to the usual birth-and-death procedure for simulating spatial point processes is introduced. The algorithm is used in a discussion of unconditional versus conditional likelihood inference for parametric models of spatial point processes.
21
Monte Carlo sampling methods using Markov chains and their applications
W. Keith Hastings · Biometrika · 1970 · 15.2K citations
Markov Chains for Exploring Posterior Distributions
Luke Tierney · The Annals of Statistics · 1994 · 3.5K citations · Full text
Practical Markov Chain Monte Carlo
Charles J. Geyer · Statistical Science · 1992 · 2.1K citations
Engineering, Mathematics, Statistics +16
Computer Simulation of Liquids.
R Scott, Martha Allen, Dominic J. Tildesley · Mathematics of Computation · 1991 · 1.4K citations