论文信息 - Bayesian control in mixture models

Bayesian control in mixture models

The problem is to choose values for independent variables in a regression mixture model with the intent of controlling the output toward a specified target value. This problem is posed as a Bayesian decision problem. The calculation of Bayes rules is shown to require solution of a quadratic programming problem. An example based on an article by Snee (1981) concerning gasoline blends is discussed.

L. Mark Berliner | L. M. Berliner

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