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20182026
most citedThe Wasserstein space of stochastic processes

3 citations · 15 across the 36 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

math.PR2023★ 1 cited

The Knothe-Rosenblatt distance and its induced topology

Mathias Beiglböck, Gudmund Pammer, Alexander Posch

A basic and natural coupling between two probabilities on is given by the Knothe-Rosenblatt coupling. It represents a multiperiod extension of the quantile coupling a…

math.PR2023

Representing General Stochastic Processes as Martingale Laws

Mathias Beiglböck, Gudmund Pammer, Stefan Schrott +1

Random variables , are 'probabilistically equivalent' if they have the same law. Moreover, in any class of equivalent random variables it is easy to select canonical r…

q-fin.MF2023★ 2 cited

Calibration of the Bass Local Volatility model

Beatrice Acciaio, Antonio Marini, Gudmund Pammer

The Bass local volatility model introduced by Backhoff-Veraguas, Beiglböck, Huesmann, and Källblad is a Markov model perfectly calibrated to vanilla options at finitely many maturi…

q-fin.CP2023★ 2 cited

The Martingale Sinkhorn Algorithm

Manuel Hasenbichler, Benjamin Joseph, Gregoire Loeper +2

We develop a numerical method for the martingale analogue of the Benamou--Brenier optimal transport problem, which seeks a martingale interpolating two prescribed marginals which i…

cs.LG2023

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Alexander Kolesov, Petr Mokrov, Igor Udovichenko +5

Optimal transport (OT) barycenters are a mathematically grounded way of averaging probability distributions while capturing their geometric properties. In short, the barycenter tas…

math.PR2023

An extension of martingale transport and stability in robust finance

Benjamin Jourdain, Gudmund Pammer

While many questions in robust finance can be posed in the martingale optimal transport framework or its weak extension, others like the subreplication price of VIX futures, the ro…