This article explains how to create and use Gaussian process regression (GPR) models. Compared to other regression techniques, GPR is especially useful when there is limited training data. There are ...
Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all trades between each counterparty under both market and credit risk. We present a ...
A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results