Projects per year
Personal profile
Keywords
- Mathematics and Statistics
- applied probability theory
- Markov chain Monte Carlo methods (MCMC)
- spatial statistics
- statistics
- stochastic geometry
- stochastic simulation
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Collaborations from the last five years
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Projects
- 27 Finished
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Cox processes related to Voronoi tesselations
Rasmussen, J. G. (Project Participant) & Møller, J. (Project Participant)
01/09/2013 → 01/12/2015
Project: Research
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Second-order analysis of structured inhomogeneos spatio-temporal point processes
Møller, J. (Project Participant) & Ghorbani, M. (Project Participant)
01/01/2011 → 01/12/2016
Project: Research
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Second-order intensity-reweighted stationary isotropic and geometric anisotropic spatial point processes, with a view to Cox processes
Møller, J. (Project Participant) & Toftaker, H. (Project Participant)
01/01/2011 → 01/12/2016
Project: Research
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Transforming spatial point processes into Poisson processes using random superposition
Berthelsen, K. K. (Project Participant) & Møller, J. (Project Participant)
01/01/2011 → 01/12/2012
Project: Research
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A sequential point process model and Bayesian inference for spatial point patterns with linear structures
Møller, J. (Project Participant) & Rasmussen, J. G. (Project Participant)
01/01/2011 → 30/08/2013
Project: Research
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Cox processes driven by transformed Gaussian processes on linear networks—A review and new contributions
Møller, J. & Rasmussen, J. G., Sept 2024, In: Scandinavian Journal of Statistics. 51, 3, p. 1288-1322 35 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile -
How many digits are needed?
Herbst, I., Møller, J. & Svane, A. M., Mar 2024, In: Methodology and Computing in Applied Probability. 26, 1, 5.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile -
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation
Karafiátová, I., Møller, J., Pawlas, Z., Staněk, J., Seitl, F. & Beneš, V., Jun 2023, In: Spatial Statistics. 55, 100747.Research output: Contribution to journal › Journal article › Research › peer-review
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Singular Distribution Functions for Random Variables with Stationary Digits
Cornean, H., Herbst, I. W., Møller, J., Støttrup, B. B. & Sørensen, K. S., Mar 2023, In: Methodology and Computing in Applied Probability. 25, 31.Research output: Contribution to journal › Journal article › Research › peer-review
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Stochastic routing with arrival windows
Pedersen, S. A., Yang, B., Jensen, C. S. & Møller, J., 21 Nov 2023, In: ACM Transactions on Spatial Algorithms and Systems. 9, 4, p. 1-48 48 p., 30.Research output: Contribution to journal › Journal article › Research › peer-review
3 Citations (Scopus)
Datasets
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MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
Beraha, M. (Creator), Argiento, R. (Creator), Møller, J. (Creator) & Guglielmi, A. (Creator), Taylor & Francis, 24 Jan 2022
DOI: 10.6084/m9.figshare.16967325.v2, https://tandf.figshare.com/articles/dataset/MCMC_computations_for_Bayesian_mixture_models_using_repulsive_point_processes/16967325/2
Dataset: Supplementary material
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MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
Beraha, M. (Creator), Argiento, R. (Creator), Møller, J. (Creator) & Guglielmi, A. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.16967325, https://tandf.figshare.com/articles/dataset/MCMC_computations_for_Bayesian_mixture_models_using_repulsive_point_processes/16967325
Dataset: Supplementary material
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MCMC computations for Bayesian mixture models using repulsive point processes
Beraha, M. (Creator), Argiento, R. (Creator), Møller, J. (Creator) & Guglielmi, A. (Creator), Taylor & Francis, 9 Nov 2021
DOI: 10.6084/m9.figshare.16967325.v1, https://tandf.figshare.com/articles/dataset/MCMC_computations_for_Bayesian_mixture_models_using_repulsive_point_processes/16967325/1
Dataset: Supplementary material
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The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications
Biscio, C. A. N. (Creator) & Møller, J. (Creator), Taylor & Francis, 29 Apr 2019
DOI: 10.6084/m9.figshare.7728554.v2, https://tandf.figshare.com/articles/The_accumulated_persistence_function_a_new_useful_functional_summary_statistic_for_topological_data_analysis_with_a_view_to_brain_artery_trees_and_spatial_point_process_applications/7728554/2
Dataset: Supplementary material
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The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications
Biscio, C. A. N. (Creator) & Møller, J. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.7728554, https://tandf.figshare.com/articles/The_accumulated_persistence_function_a_new_useful_functional_summary_statistic_for_topological_data_analysis_with_a_view_to_brain_artery_trees_and_spatial_point_process_applications/7728554
Dataset: Supplementary material
Activities
- 1 Other
Press/Media
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Statistik afkoder regnskovens biodiversitet
Waagepetersen, R. & Møller, J.
09/12/2019
3 items of Media coverage
Press/Media: Press / Media
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Ni AAU-forskere modtager millioner fra Det Frie Forskningsråd
Sørensen, J. L., Jensen, J., Vitus, K., Pedersen, T., Smedskjær, M. M., Wisniewski, R., Møller, J., Nyman, U. M. & Carvalho, E. D.
19/05/2017
4 items of Media coverage
Press/Media: Press / Media
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BENEDIKTE ASK: 4 MYTER OM SKOLELUKNINGER
06/09/2010
1 item of Media coverage
Press/Media: Press / Media