Complex behaviour in many systems arises from the stochastic interactions of spatially distributed particles or agents. Stochastic reaction–diffusion processes are widely used to model such behaviour ...
An operations planning and economics improvement project at ConocoPhillips's Lake Charles, La., refinery successfully developed and implemented high-quality kinetic process models used for unit ...
Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...
Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions
Fitting models to data is an important part of the practice of science. Advances in machine learning have made it possible to fit more—and more complex—models, but have also exacerbated a problem: ...
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