World's Best Scientists 2026 revealed!
Jesper Møller

Jesper Møller

D-Index & Metrics

Mathematics

D-Index
44
Citations
12040
World Ranking
1546
National Ranking
9

Overview

Jesper Møller is affiliated with Aalborg University in Denmark and conducts research mainly within the field of Mathematics. Their work touches on several subfields, including Applied Mathematics, Mathematical Physics, Statistics and Probability, Economics and Econometrics, and Artificial Intelligence.

The primary topics of Jesper Møller's research include:

  • Point processes and geometric inequalities
  • Mathematical dynamics and fractals
  • Morphological variations and asymmetry
  • Bayesian methods and mixture models
  • Stochastic processes and statistical mechanics
  • Economic and environmental valuation
  • Spatial and panel data analysis

Jesper Møller has contributed articles to various publication venues with multiple publications in some of them. These frequently include:

  • arXiv (Cornell University)
  • Journal of Applied Probability
  • Spatial Statistics
  • Methodology and Computing in Applied Probability
  • Scandinavian Journal of Statistics

Recent published papers by Jesper Møller or involving their research area demonstrate a range of focuses and collaboration with co-authors. Examples include:

  • "MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes," 2021, Journal of Computational and Graphical Statistics
  • "Layer III pyramidal cells in the prefrontal cortex reveal morphological changes in subjects with depression, schizophrenia, and suicide," 2022, Translational Psychiatry
  • "Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections," 2021, Communications Biology
  • "Stochastic Routing with Arrival Windows," 2023, ACM Transactions on Spatial Algorithms and Systems
  • "Isotropic covariance functions on graphs and their edges," 2020, The Annals of Statistics

Møller has collaborated frequently with several researchers, including:

  • Ira Herbst (10 co-authored works)
  • Ninna Vihrs (7 co-authored works)
  • Anne Marie Svane (6 co-authored works)
  • Horia D. Cornean (4 co-authored works)
  • Kasper S. Sørensen (4 co-authored works)

Best Publications

  • Statistical Inference and Simulation for Spatial Point Processes

    Jesper Moller;Rasmus Plenge Waagepetersen

  • Log Gaussian Cox Processes

    Jesper Møller;Anne Randi Syversveen;Rasmus Plenge Waagepetersen

  • Non-and semi-parametric estimation of interaction in inhomogeneous point patterns

    Adrian Baddeley;J. Moller;R. Waagepetersen

  • Simulation Procedures and Likelihood Inference for Spatial Point Processes

    Charles J. Geyer;Jesper Moller

  • An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants

    Jesper Moller;Anthony N. Pettitt;Robert W. Reeves;Kasper K. Berthelsen

  • Residual analysis for spatial point processes (with discussion)

    A. Baddeley;R. Turner;Jesper Møller;M. Hazelton

  • Lectures on Random Voronoi Tessellations

    Jesper Møller

  • Modern Statistics for Spatial Point Processes

    Jesper Møller;Rasmus P. Waagepetersen

  • Discussion on the paper by Feranhead and Prangle

    Jesper Møller

  • Nearest-Neighbour Markov Point Processes and Random Sets

    Adrian Baddeley;Jesper Møller

  • Determinantal point process models and statistical inference

    Frédéric Lavancier;Jesper Møller;Ege Holger Rubak

  • Perfect simulation using dominating processes on ordered spaces, with application to locally stable point processes

    Wilfrid S. Kendall;Jesper Møller

  • Random Tessellations in Rd

    Jesper Møller

  • Pseudolikelihood for Exponential Family Models of Spatial Point Processes

    Jens Ledet Jensen;Jesper Moller

  • Shot noise Cox processes

    Jesper Møller

  • Random Johnson-Mehl tessellations

    Jesper Møller

  • Perfect simulation of Hawkes processes

    Jesper Møller;Jakob Gulddahl Rasmussen

  • Characterization results and Markov chain Monte Carlo algorithms including exact simulation for some spatial point processes

    Olle Häggström;Marie-Colette N.M. Van Lieshout;Jesper Møller

  • Determinantal point process models and statistical inference : Extended version

    Frédéric Lavancier;Jesper Møller;Ege Rubak

  • Space-time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds

    Anders Brix;Jesper Moller

Frequent Co-Authors

Rasmus Waagepetersen
Rasmus Waagepetersen Aalborg University
Adrian Baddeley
Adrian Baddeley Curtin University
Dietrich Stoyan
Dietrich Stoyan TU Bergakademie Freiberg
Peter McCullagh
Peter McCullagh University of Chicago
Christopher Jennison
Christopher Jennison University of Bath
Gareth O. Roberts
Gareth O. Roberts University of Warwick
Steffen L. Lauritzen
Steffen L. Lauritzen University of Copenhagen
Víctor Leiva
Víctor Leiva Pontificial Catholic University of Valparaiso
Peter J. Diggle
Peter J. Diggle Lancaster University
Man Lung Yiu
Man Lung Yiu Hong Kong Polytechnic University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens doors to diverse career opportunities, often complemented by advanced degrees in related fields. Many students consider pursuing a ms in digital marketing degree cost tuition fees to combine analytical skills with marketing expertise, enhancing their appeal in data-driven industries.

For those interested in business leadership, year long mba programs offer an accelerated path to gain essential management skills alongside a strong quantitative foundation learned in mathematics studies.

Flexibility is key for many professionals, and the availability of online mba with transfer credits accepted allows seamless continuation of education, accelerating career advancement without interrupting work commitments.

Additionally, as data becomes increasingly vital, a masters data analytics is an excellent complement to math studies, empowering graduates to interpret complex datasets and drive informed decision-making in tech, finance, and healthcare sectors.

Best Scientists Citing Jesper Møller

Trending Scientists

Recently Published Articles