TY - GEN AU - Moral Callejón, Serafín PY - 2019 UR - https://hdl.handle.net/10481/98686 AB - This paper presents a general framework for learning with imprecise probabilities, consisting of a hierarchical approach with two sets of parameters. In the top set we have imprecise information, and conditioned on this set we have precise Bayesian... LA - eng PB - Elsevier KW - Imprecise probability KW - Decision making KW - Model selection KW - Probability estimation KW - Likelihood KW - Credal networks TI - Learning with imprecise probabilities as model selection and averaging DO - https://doi.org/10.1016/j.ijar.2019.04.001 ER -