Empirical likelihood (EL) methods constitute a class of non-parametric inference techniques that construct likelihood functions directly from observed data without specifying a full probability model.

Parameter calibration of climate suitability models is often hindered by the lack of absence data for plant species, limiting their effectiveness for global scale applications. Here we propose a novel ...