Preprints and Forthcoming Papers
- M N M van Lieshout,
Stochastic geometry models in image analysis and spatial
statistics,
CWI tract 108, 1995.
- O Barndorff-Nielsen, W S Kendall, and M N M van Lieshout (Eds.)
Stochastic geometry, likelihood and computation,
Chapman and Hall/CRC Press, 1999.
- M N M van Lieshout,
Markov point processes and their applications,
Imperial College Press, 2000.
- L Florack, R Duits, G Jongbloed, M-C van Lieshout and L Davies (Eds.),
Mathematical methods for signal analysis and representation,
Springer, 2012.
- M N M van Lieshout.
Theory of spatial statistics: A concise introduction.
Chapman and Hall/CRC Press, 2019.
- M C de Jongh and M N M van Lieshout.
Testing biodiversity using inhomogeneous summary statistics.
ArXiv 2007.07635, July 2020.
Spatial Statistics, to appear.
- M N M van Lieshout and R L Markwitz.
State estimation for aoristic models.
ArXiv 2108.10584, August 2021.
- C Lu, M N M van Lieshout, M de Graaf and P J Visscher.
Data-driven chimney fire risk prediction using machine learning and
point process tools.
ArXiv 2112.07257, December 2021.
Marie-Colette van Lieshout
July 2022