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Article Dans Une Revue Statistics and Probability Letters Année : 2014

## A remark on the optimal transport between two probability measures sharing the same copula

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Aurélien Alfonsi
Benjamin Jourdain
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#### Résumé

We are interested in the Wasserstein distance between two probability measures on $\R^n$ sharing the same copula $C$. The image of the probability measure $dC$ by the vectors of pseudo-inverses of marginal distributions is a natural generalization of the coupling known to be optimal in dimension $n=1$. It turns out that for cost functions $c(x,y)$ equal to the $p$-th power of the $L^q$ norm of $x-y$ in $\R^n$, this coupling is optimal only when $p=q$ i.e. when $c(x,y)$ may be decomposed as the sum of coordinate-wise costs.

#### Domaines

Mathématiques [math] Probabilités [math.PR]
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### Dates et versions

hal-00844906 , version 1 (16-07-2013)

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• HAL Id : hal-00844906 , version 1
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### Citer

Aurélien Alfonsi, Benjamin Jourdain. A remark on the optimal transport between two probability measures sharing the same copula. Statistics and Probability Letters, 2014, dx.doi.org/10.1016/j.spl.2013.09.035. ⟨hal-00844906⟩

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