A foundational law used to describe randomness across physics, economics, and beyond may be more unique than previously thought. By probing how independent systems behave, researchers uncovered ...

Random forests have become popular for clinical risk prediction modeling. In a case study on predicting ovarian malignancy, we observed training AUCs close to 1. Although this suggests overfitting, ...

We analyze a class of dynamic models that has several recent applications, where each period, each firm receives a private shock to the marginal cost of investment and chooses among many ordered ...

Abstract: Multinomial logit model(MLM) has been proposed as the most frequently regression model for multi-category response. To deal with correlated data, in this paper we propose ...

Multinomial processing tree (MPT) models allow testing hypotheses on latent psychological processes that underlie human behavior. However, past applications of this model class have mainly been ...

Abstract: This paper proposes a method to develop the multinomial logit (MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative ...

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 ...

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, ...