Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes

Details Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes

2008-04-23

arxiv.org/abs/0804.3715v1

Electronic Journal of Statistics 2008, Vol. 2, 234-264

Mathematics

Statistics Theory

Published in at http://dx.doi.org/10.1214/07-EJS160 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by t

Scientific paper

10.1214/07-EJS160

This paper is devoted to the estimation of a vector $\bm {\theta}$ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality results of this estimator depending on a single realization are presented. In the framework of exponential family models, sufficient conditions are expressed in terms of the local energy function and are verified on a wide variety of examples.

Affiliated with

Also associated with

No associations

Rating

Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-105002