Mathematics
4 years ago

New simulation techniques reveal heavy-tailed distributions in economic data.

RePEc: Research Papers in Economics
Simulation techniques for generalized Gaussian densities
Martina Nardon, Paolo Pianca

Paper Summary

The article discusses ways to simulate generalized Gaussian random variables, which are used in various fields like science, engineering, and finance. These variables have heavy tails for certain values of a, like 1/3 and 1/2. The researchers tested different simulation methods for these specific values of a.

Related papers

Theme background image
Mathematics
5 years ago

New Extended Distribution Model Revolutionizes Risk-Neutral Density Approximation!

Skew Distributions
Model-Based Clustering
Missing Data
2 views
Theme background image
Computer Science
8 years ago

New parametric distributions for positive data in engineering and toxicology.

Model-Based Clustering
Skew Distributions
Missing Data
Theme background image
Computer Science
8 years ago

New method revolutionizes accuracy of correlation function likelihood estimation.

Model-Based Clustering
Gaussian Processes
Missing Data