PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Marie-Colette van Lieshout

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Number of EPrints submitted by this user: 12

A J-function for marked point patterns
 Marie-Colette van Lieshout
Annals of the Institute of Statistical Mathematics Volume Annals of the Institute of Statistical Mathematics, Number 58, pp. 235-259, 2006.

Markovianity in space and time
 Marie-Colette van Lieshout
In: Dynamics & Stochastics: Festschrift in honour of M.S. Keane Lecture Notes - Monograph Series , 48 . (2006) Institute for Mathematical Statistics , Beachwood, USA , pp. 154-168.

Campbell and moment measures for finite sequential spatial processes
 Marie-Colette van Lieshout
In: Proceedings Prague Stochastics 2006 (2006) Matfyzpress , Prague, Czech Republic , pp. 215-224.

Perfect simulation for marked point processes
 Marie-Colette van Lieshout and R.S. Stoica
Computational Statistics & Data Analysis Volume 51, pp. 679-698, 2006.

Image segmentation by polygonal Markov fields
 R. Kluszczynski, Marie-Colette van Lieshout and T. Schreiber
Annals of the Institute of Statistical Mathematics 2005.

Maximum likelihood estimation for random sequential adsorption
 Marie-Colette van Lieshout
Advances in Applied Probability (SGSA) 2005.

Perfect simulation for length-interacting polygonal Markov fields in the plane
 Marie-Colette van Lieshout and T. Schreiber
Scandinavian Journal of Statistics 2006.

Image segmentation by polygonal Markov fields.
 R Kluszczy\'nski, M.N.M. van Lieshout and T. Schreiber
Annals of the Institute of Statistical Mathematics Volume 59, pp. 465-486, 2007.

Perfect simulation for length-interacting polygonal Markov fields in the plane
 M.N.M. van Lieshout and T. Schreiber
Scandinavian Journal of Statistics Volume 34, pp. 615-625, 2007.

Depth map calculation for a variable number of moving objects using Markov sequential object processes
 M.N.M. van Lieshout
(2007) EURANDOM, Eindhoven.

Disagreement loop and path creation/annihilation algoritms for planar Markov fields with applications to image segmentation
 T. Schreiber and M.N.M. van Lieshout
(2007) EURANDOM, Eindhoven.

Edge corrected non-parametric intensity function estimators for heterogeneous Poisson point processes
 M.N.M. van Lieshout
(2007) EURANDOM, Eindhoven.