Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

Sufficient dimension-reduction methods provide effective ways to visualize discriminant analysis problems. For example, Cook and Yin showed that the dimension-reduction method of sliced average ...

Learn to address the likelihood of structural failure. Perform risk analysis associated with environmental loads to structures under static and dynamic loadings. Master the basics of performance-based ...

This is a preview. Log in through your library . Abstract Genetical genomics experiments have now been routinely conducted to measure both the genetic markers and gene expression data on the same ...

For planning studies that consider risk and reliability, it is useful to run ensembles of hydrologic inputs and perform statistical analysis on the results to get probabilistic output, much like a ...