• Corpus ID: 55840950

Bayesian Modeling and MCMC Computation in Linear Logistic Regression for Presence-only Data

@article{Divino2013BayesianMA,
title={Bayesian Modeling and MCMC Computation in Linear Logistic Regression for Presence-only Data},
author={Fabio Divino and Natalia Golini and Giovanna Jona Lasinio and Antti Penttinen},
journal={arXiv: Computation},
year={2013}
}
• Published 6 May 2013
• Computer Science, Mathematics
• arXiv: Computation
Presence-only data are referred to situations in which, given a censoring mechanism, a binary response can be observed only with respect to on outcome, usually called \textit{presence}. In this work we present a Bayesian approach to the problem of presence-only data based on a two levels scheme. A probability law and a case-control design are combined to handle the double source of uncertainty: one due to the censoring and one due to the sampling. We propose a new formalization for the logistic…
3 Citations

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