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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Projects
- 27 Finished
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Transforming spatial point processes into Poisson processes using random superposition
Berthelsen, K. K. & Møller, J.
01/01/2011 → 01/12/2012
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. & Toftaker, H.
01/01/2011 → 01/12/2016
Project: Research
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Second-order analysis of structured inhomogeneos spatio-temporal point processes
Møller, J. & Ghorbani, M.
01/01/2011 → 01/12/2016
Project: Research
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A sequential point process model and Bayesian inference for spatial point patterns with linear structures
01/01/2011 → 30/08/2013
Project: Research
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Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
Vihrs, N., Møller, J. & Gelfand, A. E., Mar 2022, In: Scandinavian Journal of Statistics. 49, 1, p. 185-210 26 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Downloads (Pure) -
Should We Condition on the Number of Points When Modelling Spatial Point Patterns?
Møller, J. & Vihrs, N., 2022, (Accepted/In press) In: International Statistical Review.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Singular distribution functions for random variables with stationary digits
Støttrup, B. B., Cornean, H., Møller, J., Sørensen, K. S. & Herbst, I., 2022.Research output: Working paper/Preprint › Preprint › Research
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Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections
Larsen, N. Y., LI, X., Tan, X., Ji, G., Lin, J., Rajkowska, G., Møller, J., Vihrs, N., Sporring, J., Sun, F. & Nyengaard, J. R., 2 Sep 2021, In: Communications Biology. 4, 1, 14 p., 1030.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Downloads (Pure) -
Couplings for determinantal point processes and their reduced Palm distributions with a view to quantifying repulsiveness
Møller, J. & O’Reilly, E., 2021, In: Journal of Applied Probability. 58, 2, p. 469 - 483 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus)
Datasets
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MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
Guglielmi, A. (Creator), Argiento, R. (Creator), Beraha, M. (Creator) & Møller, J. (Creator), Taylor & Francis, 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
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MCMC computations for Bayesian mixture models using repulsive point processes
Guglielmi, A. (Creator), Møller, J. (Creator), Beraha, M. (Creator) & Argiento, R. (Creator), Taylor & Francis, 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
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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
Møller, J. (Creator) & Biscio, C. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.7728554.v2, https://doi.org/10.6084%2Fm9.figshare.7728554.v2
Dataset
Activities
- 1 Other
Press / Media
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Ni AAU-forskere modtager millioner fra Det Frie Forskningsråd
Jens Laurids Sørensen, Jesper Jensen, Kathrine Vitus, Troels Pedersen, Morten Mattrup Smedskjær, Rafal Wisniewski, Jesper Møller, Ulrik Mathias Nyman & Elisabeth De Carvalho
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
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Professor Jesper Møller - A Featured Scientist from Essential Science IndicatorsSM
08/07/2008
1 item of Media coverage
Press/Media: Press / Media