One of the goals of statistics is to make inferences about population parameters from a limited set of observations. Last month, we showed how Bayes' theorem is used to update probability estimates as ...

Wavelet threshold algorithms replace small magnitude wavelet coefficients with zero and keep or shrink the other coefficients. This is basically a local procedure, because wavelet coefficients ...

This is a preview. Log in through your library . Abstract With the rapid accumulation of various high-throughput genomic and proteomic data, one is compelled to develop new statistical methods that ...

This paper introduces a new methodology for modeling and estimating transition probabilities between credit classes. The paper makes three contributions. First, we develop a new statistical model that ...

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 ...