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 ...

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 ...

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 ...

Market research cited Marsh indicated the global parametric insurance market is estimated to reach $34.4 billion by 2033. While natural catastrophe remains dominant, parametric models are increasingly ...

Disasters such as wildfires are becoming increasingly frequent occurrences, leaving homeowners scrambling for ways to proactively protect themselves and recover financially. Traditional insurance ...

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