Different aspects of mathematical finance benefit from the use Hermite polynomials, and this is particularly the case where risk drivers have a Gaussian distribution. They support quick analytical ...

General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

Abstract: In this paper, we propose two algorithms to realize a specific case of indeterminate finite summation operation introduced by multinomial theorem in computer-based simulations. One is the ...

"Fake Tweet Detection Using Multinomial Naive Bayes Classifier Algorithm" is a project that aims to develop a machine learning model to identify fake tweets on social media platforms such as Twitter.

Abstract: We propose a methodology for developing EM-based polynomial surrogate models exploiting the multinomial theorem. Our methodology is compared against four EM surrogate modeling techniques: ...

I've been attempting to create a custom_family for the Dirichlet-multinomial in brms v2.22.0, following the approach set out in the custom family vignette. However, I ...