Projects per year
Personal profile
Keywords
- 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.
- 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
Network
Dive into details by clicking on the dots.
Projects 2005 2014
- 14 Finished
A logistic regression estimating function for spatial Gibbs point processes
Baddeley, A., Coeurjolly, J., Rubak, E. & Waagepetersen, R.
01/09/2012 → 31/12/2014
Project: Research
Likelihood based inference for log Gaussian Cox processes
Møller, J., Waagepetersen, R. & Baddeley, A.
01/01/2011 → 31/08/2012
Project: Research
Two-step estimation for inhomogeneous spatial point processes
01/01/2008 → 01/09/2010
Project: Research
Spatial Point Process
Mixing Conditions
Intensity Function
Estimating Function
Score Function
Nonparametric and parametric estimation of the second-order structure of inhomogeneous spatial point processes using case-control data.
01/01/2008 → 01/09/2010
Project: Research
Spatial Point Process
Case-control Data
Parametric Estimation
Pair Correlation Function
Nonparametric Estimation
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/journal › Paper without publisher/journal › Research
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 journal › Journal article › Research › peer-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 proceeding › Article in proceeding › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-review
Spatial Point Process
Quasi-likelihood
Estimating Function
Intensity Function
Spectral Representation
Press / Media
Matematikere kalder regnemetode i DAB-afgørelse for mærkelig og en fejl
28/10/2019
2 items of Media coverage
Press/Media: Press / Media