• Fredrik Bajers Vej 7, G, 2-110

    9220 Aalborg Ø


  • Skjernvej 4, A, 5-314

    9220 Aalborg Ø


If you made any changes in Pure these will be visible here soon.

Personal profile


  • Mathematics and Statistics
  • quantitative genetics
  • Markov chain Monte Carlo metoder (MCMC)
  • spatial statistics
  • statistics

Fingerprint The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.

  • 4 Similar Profiles
Spatial Point Process Mathematics
Cox Process Mathematics
Estimating Function Mathematics
Random Effects Mathematics
Point Process Mathematics
Palm Distribution Mathematics
Markov Chain Monte Carlo Mathematics
Intensity Function Mathematics

Network Dive into details by clicking on the dots.

Projects 2005 2014

Research Output 1996 2019

A general central limit theorem and a subsampling variance estimator for α‐mixing point processes

Biscio, C. & Waagepetersen, R., 2019, In : Scandinavian Journal of Statistics. 23 p.

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)

A note on gaps in proofs of central limit theorems

Biscio, C., Poinas, A. & Waagepetersen, R. P., Apr 2018, In : Statistics & Probability Letters. 135, p. 7-10 4 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)

Fast bandwidth selection for estimation of the pair correlation function

Jalilian, A. & Waagepetersen, R., 3 Jul 2018, In : Journal of Statistical Computation and Simulation. 88, 10, p. 2001-2011 11 p.

Research output: Contribution to journalConference article in JournalResearchpeer-review

Bandwidth Selection
Pair Correlation Function
Least Squares
144 Downloads (Pure)

Projection of Anthropometric Correlation for Virtual Population Modelling

Rasmussen, J., Waagepetersen, R. P. & Rasmussen, K. P., 16 Apr 2018, In : International Journal of Human Factors Modelling and Simulation. 6, 1, p. 16-30 15 p.

Research output: Contribution to journalJournal articleResearchpeer-review

population modeling