Related papers
Local log-linear method outperforms standard kernel approach in density estimation.
The article compares two methods for estimating the density of data: local likelihood and standard kernel approaches. The researchers found that the local likelihood method with a simple bandwidth performs better for heavy-tailed distributions, while the standard kernel method with a specific bandwidth is more effective for normal mixture densities in larger sample sizes.
