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20152025
most citedSome multivariate imprecise shock model copulas

6 citations · 8 across the 4 of their papers we have counts for

collaborators

7 papers

math.ST2025

A complete characterization of maximal copulas with a given track section

Matjaž Omladič, Damjan Škulj

Bivariate copulas with prescribed diagonal section were first studied by Bertino. Their maximality was studied so far only from the point of view of upper bounds which brings quasi…

math.PR2025

Reversible Imprecise Markov Chains

Damjan Škulj

Reversible Markov chains play a central role in stochastic modelling and in algorithms such as Markov chain Monte Carlo (MCMC). Motivated by the fundamental importance of reversibi…

math.PR2022★ 1 cited

A complete characterization of normal cones and extreme points for -boxes

Damjan Škulj

Probability boxes, also known as -boxes, correspond to sets of probability distributions bounded by a pair of distribution functions. They fall into the class of models known as…

math.PR2020★ 6 cited

Some multivariate imprecise shock model copulas

David Dolžan, Damjana Kokol Bukovšek, Matjaž Omladič +1

Bivariate imprecise copulas have recently attracted substantial attention. However, the multivariate case seems still to be a "blank slate". It is then natural that this idea be te…

math.PR2018★ 1 cited

Constructing copulas from shock models with imprecise distributions

Matjaž Omladič, Damjan Škulj

The omnipotence of copulas when modeling dependence given marg\-inal distributions in a multivariate stochastic situation is assured by the Sklar's theorem. Montes et al.\ (2015) s…

math.PR2016

Errors bounds for finite approximations of coherent lower previsions on finite probability spaces

Damjan Škulj

Coherent lower previsions are general probabilistic models allowing incompletely specified probability distributions. However, for complete description of a coherent lower previsio…