Jesper Møller
Jesper Møller
Professor in Statistics, Aalborg University
Verified email at math.aau.dk
TitleCited byYear
Statistical inference and simulation for spatial point processes
J Moller, RP Waagepetersen
Chapman & Hall/CRC, 2003
12742003
Constrained Monte Carlo maximum likelihood for dependent data
CJ Geyer, EA Thompson
Journal of the Royal Statistical Society: Series B (Methodological) 54 (3 …, 1992
10221992
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
617*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
5992000
Simulation procedures and likelihood inference for spatial point processes
CJ Geyer, J Møller
Scandinavian journal of statistics, 359-373, 1994
4991994
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
3522006
Lectures on random Voronoi tessellations
J Moller
Springer Science & Business Media, 2012
3462012
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
3122005
Residual analysis for spatial point processes
A Baddeley, R Turner, J Møller, M Hazelton
AMS Clasification, 2004
312*2004
Nearest-neighbour Markov point processes and random sets
A Baddeley, J Møller
International Statistical Review/Revue Internationale de Statistique, 89-121, 1989
2771989
Modern statistics for spatial point processes
J MoLler, RP WAAGEPETERSEN
Scandinavian Journal of Statistics 34 (4), 643-684, 2007
2622007
Bayesian analysis of agricultural field experiments
J Besag, D Higdon
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999
2311999
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
2272000
Random tessellations in ℝd
J Møller
Advances in Applied Probability 21 (1), 37-73, 1989
1991989
Pseudolikelihood for exponential family models of spatial point processes
JL Jensen, J Moller
The Annals of Applied Probability 1 (3), 445-461, 1991
1881991
Shot noise Cox processes
J Møller
Advances in Applied Probability 35 (3), 614-640, 2003
1582003
Determinantal point process models and statistical inference
F Lavancier, J Møller, E Rubak
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015
153*2015
Random Johnson-Mehl tessellations
J Moller
Adv. Appl. Prob 24, 814-844, 1992
1471992
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
1301999
Markov chain Monte Carlo and spatial point processes
J Møller
1201999
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