• Skjernvej 4, A, 5-314

    9220 Aalborg Ø

    Denmark

19962020
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Personal profile

Keywords

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

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  • 5 Similar Profiles
Spatial Point Process Mathematics
Estimating Function Mathematics
Cox Process Mathematics
Point Process Mathematics
Pair Correlation Function Mathematics
Intensity Function Mathematics
Random Effects Mathematics
Palm Distribution Mathematics

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Projects 2005 2014

A logistic regression estimating function for spatial Gibbs point processes

Baddeley, A., Coeurjolly, J., Rubak, E. & Waagepetersen, R.

01/09/201231/12/2014

Project: Research

Likelihood based inference for log Gaussian Cox processes

Møller, J., Waagepetersen, R. & Baddeley, A.

01/01/201131/08/2012

Project: Research

Spatial Point Process
Mixing Conditions
Intensity Function
Estimating Function
Score Function
Spatial Point Process
Case-control Data
Parametric Estimation
Pair Correlation Function
Nonparametric Estimation

Genetically structured variance heterogeneity

Waagepetersen, R.

31/12/200731/12/2007

Project: Research

Research Output 1996 2020

Maximum likelihood calibration of stochastic multipath radio channel models: TD(20)12026

Hirsch, C. P., Bharti, A., Pedersen, T. & Waagepetersen, R., 2020.

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearch

File

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

Subsampling
Mixing Processes
Variance Estimator
Point Process
Central limit theorem

Generalizations of Ripley’s K-function with Application to Space Curves

Sporring, J., Waagepetersen, R. & Sommer, S., 1 Jan 2019, Information Processing in Medical Imaging: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings. Chung, A. C. S., Gee, J. C., Yushkevich, P. A. & Bao, S. (eds.). Springer, p. 731-742 12 p. (Lecture Notes in Computer Science, Vol. 11492 LNCS).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Space Curve
Curve
Fiber
Intensity Function
Vesicles

Second-order variational equations for spatial point processes with a view to pair correlation function estimation

Coeurjolly, J. F., Cuevas-Pacheco, F. & Waagepetersen, R., 1 Apr 2019, In : Spatial Statistics. 30, p. 103-115 13 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Spatial Point Process
Pair Correlation Function
Variational Equation
Function Estimation
Second Order Equations

A fast spectral quasi-likelihood approach for spatial point processes

Deng, C., Waagepetersen, R. P., Wang, M. & Guan, Y., 1 Feb 2018, In : Statistics and Probability Letters. 133, p. 59-64 6 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Spatial Point Process
Quasi-likelihood
Estimating Function
Intensity Function
Spectral Representation

Press / Media