3 papers
cs.PF2025
Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
Abdelhakim Ziani, András Horváth, Paolo Ballarini
Heavy-tailed distributions, prevalent in a lot of real-world applications such as finance, telecommunications, queuing theory, and natural language processing, are challenging to m…
cs.FL2025
Statistical process discovery
Pierre Cry, Paolo Ballarini, András Horváth +1
Stochastic process discovery is concerned with deriving a model capable of reproducing the stochastic character of observed executions of a given process, stored in a log. This lea…
cs.CL2025
Probabilistic Process Discovery with Stochastic Process Trees
András Horváth, Paolo Ballarini, Pierre Cry
In order to obtain a stochastic model that accounts for the stochastic aspects of the dynamics of a business process, usually the following steps are taken. Given an event log, a p…