Optimality, Uncertainty, and Dynamic Programming with Lower Previsions

Regret-based budgeted decision rules under severe uncertainty (2024)
Journal Article

A nonstandard approach to stochastic processes under probability bounding (2023)
Conference Proceeding

Inclusion of frequency nadir constraint in the unit commitment problem of small power systems using machine learning (2023)
Journal Article

A constructive theory for conditional lower previsions only using rational valued probability mass functions with finite support (2023)
Presentation / Conference

Using probability bounding to improve decision making for offshore wind planning in industry (2023)
Presentation / Conference