Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...

The lognormal-gamma distribution, being a heavy-tailed distribution, is very attractive from an operational risk modeling perspective because historical operational losses also exhibit heavy tails.

What Is Markov Chain Monte Carlo? Markov Chain Monte Carlo (MCMC) is a powerful technique used in statistics and various scientific fields to sample from complex probability distributions. It is ...

It is a well-known fact that recovery rates tend to decrease when the number of defaults increases during economic downturns. We demonstrate how the loss given default model with the default and ...

A research team from the University of British Columbia and Google has announced that they have developed a method called '3D Gaussian Splatting as a Markov Chain Monte Carlo Method' that dramatically ...