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

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, ...

Monitoring programs serve to detect trends in the distribution and abundance of species. To do so, monitoring programs often use static state variables. Dynamic state variables that describe ...

We propose a method for reconstructing a probability density function (pdf) from a sample of an n-dimensional probability distribution. The method works by iteratively applying some simple ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

In order to get a more accurate estimate of the probability, we would need to look at a greater number of trials. Let’s imagine we have a bag containing two different types of sweet but we do not know ...

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 ...

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 ...