Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

To extract information from high-dimensional data efficiently, visualization tools based on data projection methods have been developed and shown useful. However, a single two-dimensional ...

Risk and uncertainty are rarely evaluated as an integral part of the planning process. An array of risks—from hydrocarbon potential and operating characteristics, to political or market factors—can ...

The Annals of Applied Probability, Vol. 25, No. 3 (June 2015), pp. 1189-1231 (43 pages) Mean field games are studied by means of the weak formulation of stochastic optimal control. This approach ...

The design and construction of capital projects can be extremely complex. Uncertainty and risk add to this complexity and, as a result, many projects experience significant cost overruns and schedule ...

Saksman's research deals with several mathematical problem areas that involve probabilistic questions in various setups. These include probabilistic methods in mathematical physics, analysis and ...