Geyer, Charles J.; Møller, Jesper Simulation procedures and likelihood inference for spatial point processes. (English) Zbl 0809.62089 Scand. J. Stat. 21, No. 4, 359-373 (1994). Summary: 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. Cited in 49 Documents MSC: 62M30 Inference from spatial processes 65C05 Monte Carlo methods Keywords:conditional maximum likelihood; Gibbsian point processes; Markov chain; Metropolis-Hastings algorithm; spatial birth-and-death processes; Strauss process; unconditional maximum likelihood; algorithm; simulating point processes; parametric models of spatial point processes PDFBibTeX XMLCite \textit{C. J. Geyer} and \textit{J. Møller}, Scand. J. Stat. 21, No. 4, 359--373 (1994; Zbl 0809.62089)