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            <subfield code="a">Alonso-Gutiérrez, David</subfield>
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            <subfield code="a">In this paper we will explore the interaction between convex geometry and proba-bility in the study of the distribution of volume in high-dimensional convex bodies. On the one hand, a convex body K in Rn can be understood as a probability space whenthe normalized Lebesgue measure is considered. Thus, probabilistic tools become veryhandy in the study of the behavior of a random vector uniformly distributed inK.This leads to the understanding of how the volume is distributed in a convex body andthe obtention of geometric inequalities. On the other hand, when considering lower-dimensional marginals of the uniform probability measure onK, we leave the class ofuniform probabilities on convex bodies but remain in the class of log-concave probabilities. Many geometric inequalities can be extended to the context of log-concaveprobabilities, leading to functional inequalities for log- concave functions.</subfield>
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            <subfield code="g">72 (2017), 7-32</subfield>
            <subfield code="p">Rev. Acad. Cienc. Exactas, Fís.-Quím. Nat. Zaragoza</subfield>
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