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 ...

Probabilistic methods are increasingly being used to complement deterministic methods in assessing the safety and ensuring the reliability of research reactors. Addressing features specific to ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

Figure 1: Research by two computational neuroscientists at RIKEN suggests that chaotic dynamics that exhibit the butterfly effect could play a role in how the brains ...

Cross-impact analysis is widely employed to inform management and policy decisions based on the formulation of scenarios which are defined as combinations of outcomes of relevant uncertainty factors.

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 ...