Imprecise probability trees: Bridging two theories of imprecise probability
Artificial Intelligence
International Journal of Approximate Reasoning
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his paper presents concentration inequalities and laws of large numbers under weak assumptions of irrelevance that are expressed using lower and upper expectations. The results build upon De Cooman and Miranda's recent inequalities and laws of large numbers. The proofs indicate connections between the theory of martingales and concepts of epistemic and regular irrelevance.