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20172026
most citedExtended Laplace Principle for Empirical Measures of a Markov Chain

12 citations · 35 across the 14 of their papers we have counts for

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5 papers · 1 filter

math.PR2022★ 2 cited

Computational methods for adapted optimal transport

Stephan Eckstein, Gudmund Pammer

Adapted optimal transport (AOT) problems are optimal transport problems for distributions of a time series where couplings are constrained to have a temporal causal structure. In t…

math.PR2020

Limits of random walks with distributionally robust transition probabilities

Daniel Bartl, Stephan Eckstein, Michael Kupper

We consider a nonlinear random walk which, in each time step, is free to choose its own transition probability within a neighborhood (w.r.t. Wasserstein distance) of the transition…

math.PR2019

Robust pricing and hedging of options on multiple assets and its numerics

Stephan Eckstein, Gaoyue Guo, Tongseok Lim +1

We consider robust pricing and hedging for options written on multiple assets given market option prices for the individual assets. The resulting problem is called the multi-margin…

math.PR2017★ 12 cited

Extended Laplace Principle for Empirical Measures of a Markov Chain

Stephan Eckstein

We consider discrete time Markov chains with Polish state space. The large deviations principle for empirical measures of a Markov chain can equivalently be stated in Laplace princ…

math.PR2017

Marginal and dependence uncertainty: bounds, optimal transport, and sharpness

Daniel Bartl, Michael Kupper, Thibaut Lux +2

Motivated by applications in model-free finance and quantitative risk management, we consider Fréchet classes of multivariate distribution functions where additional information on…