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Bayesian Modeling and MCMC Computation in Linear Logistic Regression for Presence-only Data
[article]
2013
arXiv
pre-print
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 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 model
arXiv:1305.1232v1
fatcat:afboxdvdsrb7fbdbxzptg26tnq