Classical statistical approaches for multiclass probability estimation are typically based on regression techniques such as multiple logistic regression, or density estimation approaches such as ...

You thought I was going to talk about a problem that math teachers could use, didn't you? Well, maybe math teachers can use this. (note: when I say "teachers" I really mean "learning facilitators") It ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

Quick: How many people did you see on the way home from work the other day? Was it more or less than the day before? Regardless of your answer, it's likely you can't explain what led you to it. Number ...

Nonparametric estimation of probability density functions, both marginal and joint densities, is a very useful tool in statistics. The kernel method is popular and applicable to dependent data, ...

Estimation of probability of default (PD), loss given default and exposure at default for portfolio segments containing reasonably homogeneous assets is essential for prudent risk management as well ...

Identification of an unrelated HLA allele-matched hematopoietic stem cell (HSC) donor is a costly and time-consuming procedure. To improve search logistics, we have limited the search period to 6 ...

According to a group of mathematics researchers, the probability in the following decade of the sun causing a storm strong enough to affect electrical and communication infrastructures around the ...