Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Acoustic underwater wireless sensor networks (UWSN) have recently gained attention as a topic of research. Such networks are characterized by increased uncertainty in medium acces...
Joon Ahn, Affan A. Syed, Bhaskar Krishnamachari, J...
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
We describe flexible optimization models for the production and distribution of liquefied atmospheric gases. A simulation engine that interacts with the optimization models is use...
Wasu Glankwamdee, Jeff T. Linderoth, Jierui Shen, ...