Parametric option pricing models are widely used in finance. These models capture several features of asset price dynamics; however, their pricing performance can be significantly enhanced when they ...

The paper compares non-parametric (design-based) and parametric (model-based) approaches to the analysis of data in the form of replicated spatial point patterns in two or more experimental groups.

Daily flow data for the Usk River in Wales was simulated using a nonparametric bootstrap procedure that captures autocorrelation called k-nearest neighbor (k-NN) (Lall and Sharma, 1996). The objective ...

We all know and love OpenSCAD for its sweet sweet parametrical goodness. However, it’s possible to get some of that same goodness out of Fusion 360. To do this we will be making a mathematical model ...

In risk analysis, researchers often fit many candidate distributions to frequency and severity data and select based on goodness-of-fit. In a new study published in Risk Sciences, the authors ...

Testing several approaches for implied volatility modeling and forecasting. Design/methodology/approach – Comparative ...

The team developed a non-parametric, model-free approach to quantify memory in complex systems such as soil, oceans, and ...