Projekter pr. år
Personlig profil
Emneord
- Matematik og Statistik
- anvendt sandsynlighedsteori
- Markov kæde Monte Carlo metoder (MCMC)
- rumlig statistik
- statistik
- stokastisk geometri
- stokastisk simulation
Fingerprint
Fingerprint er automatisk genererede koncepter, som stammer fra personprofilernes indhold. Det opdateres løbende med nye registreringer.
- 1 Lignende profiler
Samarbejde i de sidste fem år
Klik på punkterne for at se detaljerne.
Projekter
- 27 Afsluttet
-
-
Second-order analysis of structured inhomogeneous spatio-temporal point processes
Møller, J. & Ghorbani, M.
01/01/2011 → 01/12/2016
Projekter: Projekt › Forskning
-
Transforming spatial point processes into Poisson processes using random superposition
Berthelsen, K. K. & Møller, J.
01/01/2011 → 01/12/2012
Projekter: Projekt › Forskning
-
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
Projekter: Projekt › Forskning
-
Score, pseudo-score and residual diagnostics for goodness-of-fit of spatial point process models
Møller, J., Rubak, E. & Baddeley, A.
01/01/2011 → 31/08/2012
Projekter: Projekt › Forskning
Publikationer
-
How many digits are needed?
Herbst, I., Møller, J. & Svane, A. M., 2024, (Accepteret/In press) I: Methodology and Computing in Applied Probability.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
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, I: Spatial Statistics. 55, 100747.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
Singular Distribution Functions for Random Variables with Stationary Digits
Cornean, H., Herbst, I. W., Møller, J., Støttrup, B. B. & Sørensen, K. S., mar. 2023, I: Methodology and Computing in Applied Probability. 25, 31.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
Stochastic routing with arrival windows
Pedersen, S. A., Yang, B., Jensen, C. S. & Møller, J., 21 nov. 2023, I: ACM Transactions on Spatial Algorithms and Systems. 9, 4, s. 1-48 48 s., 30.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
Vihrs, N., Møller, J. & Gelfand, A. E., mar. 2022, I: Scandinavian Journal of Statistics. 49, 1, s. 185-210 26 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil2 Citationer (Scopus)36 Downloads (Pure)
Forskningsdatasæt
-
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
Beraha, M. (Ophavsperson), Argiento, R. (Ophavsperson), Møller, J. (Ophavsperson) & Guglielmi, A. (Ophavsperson), 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
Datasæt: Supplerende materiale
-
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
Beraha, M. (Ophavsperson), Argiento, R. (Ophavsperson), Møller, J. (Ophavsperson) & Guglielmi, A. (Ophavsperson), 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
Datasæt: Supplerende materiale
-
MCMC computations for Bayesian mixture models using repulsive point processes
Beraha, M. (Ophavsperson), Argiento, R. (Ophavsperson), Møller, J. (Ophavsperson) & Guglielmi, A. (Ophavsperson), 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
Datasæt: Supplerende materiale
-
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. (Ophavsperson) & Møller, J. (Ophavsperson), 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
Datasæt: Supplerende materiale
-
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. (Ophavsperson) & Møller, J. (Ophavsperson), 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
Datasæt: Supplerende materiale
Aktiviteter
- 1 Andet
Presse/medier
-
Statistik afkoder regnskovens biodiversitet
Rasmus Waagepetersen & Jesper Møller
09/12/2019
3 elementer af Mediedækning
Presse/medie
-
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 elementer af Mediedækning
Presse/medie
-
-
-