A note on Bayesian logistic regression for spatial exponential family Gibbs point processes
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2014-11-04 v1 Methodology
Abstract
Recently, a very attractive logistic regression inference method for exponential family Gibbs spatial point processes was introduced. We combined it with the technique of quadratic tangential variational approximation and derived a new Bayesian technique for analysing spatial point patterns. The technique is described in detail, and demonstrated on numerical examples.
Cite
@article{arxiv.1411.0539,
title = {A note on Bayesian logistic regression for spatial exponential family Gibbs point processes},
author = {Tuomas Rajala},
journal= {arXiv preprint arXiv:1411.0539},
year = {2014}
}