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We attempt to bring some modest unity to three subareas of heavy tailanalysis and extreme value theory: limit laws for componentwise maxima of iidrandom variables;hidden regular variation and asymptoticindependence;conditioned limit laws when one component of a random vector isextreme. The common theme is multivariate regular variation on a cone and thethree cases cited come from specifying the cones $[0,\infty]^d\setminus\{\boldsymbol 0\};(0,\infty]^d;$ and $[0,\infty]\times (0,\infty]$.

Multivariate Regular Variation on Cones: Application to Extreme Values, Hidden Regular Variation and Conditioned Limit Laws