When performance evaluations conflict with partisan leanings, which way do voters turn?In many electoral contexts, voters are increasingly cross-pressured between long-standing identity attachments ...

Abstract: In this paper, we examine the problem of count data clustering. We analyze this problem using finite mixtures of distributions. The multinomial distribution and the multinomial Dirichlet ...

A report says new approaches and increased spending are needed to ensure that government statistics remain dependable and free of political influence. By Ben Casselman Federal Reserve officials use ...

Suppose that we are interested in the comparison of two independent categorical variables. Suppose also that the population is divided into subpopulations or groups. Notice that the distribution of ...

Abstract: This paper studies the discriminant modeling method for the constrained data. We propose the multinomial logit partial least squares (ML-PLS) regression of compositional data by implementing ...

Determining changes in the composition of cell populations is made possible by technologies like single-cell transcriptomics, CyTOF, and microbiome sequencing. However, existing methods for ...

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 ...