Statistical inference and simulation for spatial point processes J Moller, RP Waagepetersen Chapman & Hall/CRC, 2003 | 1354 | 2003 |

Constrained Monte Carlo maximum likelihood for dependent data CJ Geyer, EA Thompson Journal of the Royal Statistical Society: Series B (Methodological) 54 (3 …, 1992 | 1042 | 1992 |

Log Gaussian Cox processes: a statistical model for analyzing stand structural heterogeneity in forestry J Møller, AR Syversveen, RP Waagepetersen Institute for Electronic Systems, Department of Mathematics, Aalborg University, 1997 | 673* | 1997 |

Non‐and semi‐parametric estimation of interaction in inhomogeneous point patterns AJ Baddeley, J Møller, R Waagepetersen Statistica Neerlandica 54 (3), 329-350, 2000 | 627 | 2000 |

Simulation procedures and likelihood inference for spatial point processes CJ Geyer, J Møller Scandinavian journal of statistics, 359-373, 1994 | 515 | 1994 |

An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants J Møller, AN Pettitt, R Reeves, KK Berthelsen Biometrika 93 (2), 451-458, 2006 | 384 | 2006 |

Lectures on random Voronoi tessellations J Moller Springer Science & Business Media, 2012 | 354 | 2012 |

Residual analysis for spatial point processes (with discussion) A Baddeley, R Turner, J Møller, M Hazelton Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2005 | 345 | 2005 |

Residual analysis for spatial point processes A Baddeley, R Turner, J Møller, M Hazelton AMS Clasification, 2004 | 345* | 2004 |

Modern statistics for spatial point processes J MoLler, RP WAAGEPETERSEN Scandinavian Journal of Statistics 34 (4), 643-684, 2007 | 284 | 2007 |

Nearest-neighbour Markov point processes and random sets A Baddeley, J Møller International Statistical Review/Revue Internationale de Statistique, 89-121, 1989 | 273 | 1989 |

Bayesian analysis of agricultural field experiments J Besag, D Higdon Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999 | 236 | 1999 |

Perfect simulation using dominating processes on ordered spaces, with application to locally stable point processes WS Kendall, J Møller Advances in Applied Probability, 844-865, 2000 | 234 | 2000 |

Random tessellations in ℝ^{d}J Møller Advances in Applied Probability 21 (1), 37-73, 1989 | 210 | 1989 |

Pseudolikelihood for exponential family models of spatial point processes JL Jensen, J Moller The Annals of Applied Probability 1 (3), 445-461, 1991 | 191 | 1991 |

Determinantal point process models and statistical inference F Lavancier, J Møller, E Rubak Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015 | 183* | 2015 |

Shot noise Cox processes J Møller Advances in Applied Probability 35 (3), 614-640, 2003 | 164 | 2003 |

Random Johnson-Mehl tessellations J Moller Adv. Appl. Prob 24, 814-844, 1992 | 150 | 1992 |

Characterization results and Markov chain Monte Carlo algorithms including exact simulation for some spatial point processes O Häggström, MCNM Van Lieshout, J Møller Bernoulli 5 (4), 641-658, 1999 | 132 | 1999 |

Perfect simulation of Hawkes processes J Møller, JG Rasmussen Advances in applied probability 37 (3), 629-646, 2005 | 129 | 2005 |