activity
20152022
most citedMarkov Decision Processes under Model Uncertainty

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

math.OC2022★ 1 cited

Markov Decision Processes under Model Uncertainty

Ariel Neufeld, Julian Sester, Mario Šikić

We introduce a general framework for Markov decision problems under model uncertainty in a discrete-time infinite horizon setting. By providing a dynamic programming principle we o…

q-fin.MF2018

Robust martingale selection problem and its connections to the no-arbitrage theory

Matteo Burzoni, Mario Sikic

We analyze the martingale selection problem of Rokhlin (2006) in a pointwise (robust) setting. We derive conditions for solvability of this problem and show how it is related to th…

math.OC2017

Nonconcave Robust Optimization with Discrete Strategies under Knightian Uncertainty

Ariel Neufeld, Mario Sikic

We study robust stochastic optimization problems in the quasi-sure setting in discrete-time. The strategies in the multi-period-case are restricted to those taking values in a disc…

math.PR2017

A simple characterization of tightness for convex solid sets of positive random variables

Pablo Koch-Medina, Cosimo Munari, Mario Šikić

We show that for a convex solid set of positive random variables to be tight, or equivalently bounded in probability, it is necessary and sufficient that it is radially bounded, i.…

q-fin.MF2016

Robust Utility Maximization in Discrete-Time Markets with Friction

Ariel Neufeld, Mario Sikic

We study a robust stochastic optimization problem in the quasi-sure setting in discrete-time. We show that under a lineality-type condition the problem admits a maximizer. This con…

q-fin.MF2015

Financial market models in discrete time beyond the concave case

Mario Sikic

In this article we propose a study of market models starting from a set of axioms, as one does in the case of risk measures. We define a market model simply as a mapping from the s…