PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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

Abstract

Existence and uniqueness of maximum likelihood estimators for the time and range parameters in random sequential adsorption models are investigated.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:2400
Deposited By:Marie-Colette van Lieshout
Deposited On:22 November 2006