| Statistical inference and simulation for spatial point processes J Moller, RP Waagepetersen Chapman & Hall/CRC, 2003 | 1759 | 2003 |
| 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 | 973* | 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 | 797 | 2000 |
| Simulation procedures and likelihood inference for spatial point processes CJ Geyer, J Møller Scandinavian journal of statistics, 359-373, 1994 | 606 | 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 | 486 | 2006 |
| Lectures on random Voronoi tessellations J Moller Springer Science & Business Media, 2012 | 436 | 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 | 433 | 2005 |
| Modern statistics for spatial point processes J MoLler, RP WAAGEPETERSEN Scandinavian Journal of Statistics 34 (4), 643-684, 2007 | 373 | 2007 |
| Determinantal point process models and statistical inference F Lavancier, J Møller, E Rubak Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 297* | 2015 |
| Nearest-neighbour Markov point processes and random sets A Baddeley, J Møller International Statistical Review/Revue Internationale de Statistique, 89-121, 1989 | 287 | 1989 |
| Perfect simulation using dominating processes on ordered spaces, with application to locally stable point processes WS Kendall, J Møller Advances in applied probability 32 (3), 844-865, 2000 | 256 | 2000 |
| Random tessellations in ℝd J Møller Advances in Applied Probability 21 (1), 37-73, 1989 | 246 | 1989 |
| Pseudolikelihood for exponential family models of spatial point processes JL Jensen, J Moller The Annals of Applied Probability 1 (3), 445-461, 1991 | 229 | 1991 |
| Shot noise Cox processes J Møller Advances in Applied Probability 35 (3), 614-640, 2003 | 200 | 2003 |
| Random Johnson-Mehl tessellations J Moller Adv. Appl. Prob 24, 814-844, 1992 | 171 | 1992 |
| Perfect simulation of Hawkes processes J Møller, JG Rasmussen Advances in applied probability 37 (3), 629-646, 2005 | 169 | 2005 |
| Characterization results and Markov chain Monte Carlo algorithms including exact simulation for some spatial point processes O Häggström, MCNM Van Lieshout, J Møller Bernoulli, 641-658, 1999 | 138 | 1999 |
| Space‐time multi type log Gaussian Cox processes with a view to modelling weeds A Brix, J Moller Scandinavian Journal of Statistics 28 (3), 471-488, 2001 | 136 | 2001 |
| Markov chain Monte Carlo and spatial point processes J Møller Stochastic Geometry, 141-172, 2019 | 129 | 2019 |
| Topics in spatial statistics [with discussion, comments and rejoinder] NL Hjort, H Omre, M Frisén, F Godtliebsen, J Helgeland, J Møller, ... Scandinavian Journal of Statistics, 289-357, 1994 | 126 | 1994 |
