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Pablo Angulo

Publications and source records attributed to Pablo Angulo.

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The $2+1$ convex hull of a finite set

We study $\mathbb{R}^2\oplus\mathbb{R}$-separately convex hulls of finite sets of points in $\mathbb{R}^3$, as in KirchheimMullerSverak2003. This notion of convexity, which we call $2+1$ convexity, corresponds to rank-one convex convexity, or quasiconvexity, when $\mathbb{R}^3$ is identified with certain subsets of matrices. We introduce '$2+1$ complexes', which generalize $T_n$ constructions, define the '$2+1$-complex convex hull of a set', and prove that it is an inner approximation to the $2+1$ convex hull. We also consider outer approximations to $2+1$ convexity based in the locality theorem of rank convexity, by iteratively chopping off '$D$-prisms'. For many finite sets, this procedure reaches a '$2+1$ $K$-complex' in a finite number of steps, and thus computes the $2+1$ convex hull. We show examples of finite sets for which this procedure does not reach the $2+1$ convex hull in a finite number of steps, but we show that there is always a sequence of outer approximations built with $D$-prisms that converges to a $2+1$ $K$-complex. We conclude that $K^{rc}$ is always a '$2+1$ $K$-complex', which has interesting consequences.

math.AP

Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model

We propose a robust implementation of the Nerlove--Arrow model using a Bayesian structural time series model to explain the relationship between advertising expenditures of a country-wide fast-food franchise network with its weekly sales. Thanks to the flexibility and modularity of the model, it is well suited to generalization to other markets or situations. Its Bayesian nature facilitates incorporating \emph{a priori} information (the manager's views), which can be updated with relevant data. This aspect of the model will be used to present a strategy of budget scheduling across time and channels.

stat.ML