Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...

When a computer scientist publishes genetics papers, you might think it would raise colleagues’ eyebrows. But Daphne Koller’s research using a once obscure branch of probability theory called Bayesian ...

In multiple change-point analysis, inferring the number of change points is often achieved by minimizing a selection criterion that trades off data fidelity with complexity. We address the open ...

NSF-CBMS Regional Conference Series in Probability and Statistics, Vol. 10 (2018), pp. i-v, 1-125 (128 pages) Aarts, G., Fieberg, J., and Matthiopoulos, J. (2012). Comparative interpretation of count, ...