Objective probability estimates the odds of an event occurring through data analysis. It uses concrete measures instead of guesses to provide a reliable forecast.

A notion of U-exponents of a probability measure on a linear space is introduced. These are bounded linear operators and it is shown that the set of all U-exponents forms a Lie wedge for full measures ...

This course is available on the MSc in Applicable Mathematics, MSc in Financial Mathematics and MSc in Risk and Stochastics. This course is available as an outside option to students on other ...

We derive new explicit bounds for the total variation distance between two convolution products of n ∈ N probability distributions, one of which having identical convolution factors. Approximations by ...

Probability theory has long provided a rigorous framework for quantifying uncertainty, yet its extension to infinite sets introduces profound conceptual challenges and opportunities. Contemporary ...

Probability theory forms the mathematical backbone for quantifying uncertainty and random events, providing a rigorous language with which to describe both everyday phenomena and complex scientific ...

NEW YORK--(BUSINESS WIRE)--Moody’s Analytics, a leader in credit risk measurement and management, today announced Through-the-Cycle EDF™ (Expected Default Frequency) measure, a quantitatively derived ...