✦ LIBER ✦

Using the bootstrap and fast Fourier transform to estimate confidence intervals of 2D kernel densities

✍ Scribed by John W. Kern; Trent L. McDonald; Steven. C. Amstrup; George M. Durner; Wallace P. Erickson

Book ID: 111556127
Publisher: Springer
Year: 2003
Tongue: English
Weight: 505 KB
Volume: 10
Category: Article
ISSN: 1352-8505
DOI: 10.1023/a:1026092103819

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Efficient kernel density estimation usin

Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking

✍ Elgammal, A.; Duraiswami, R.; Davis, L.S. 📂 Article 📅 2003 🏛 IEEE 🌐 English ⚖ 448 KB

The use of kernel densities and confiden

The use of kernel densities and confidence intervals to cope with insufficient data in validation experiments

✍ H.J. Pradlwarter; G.I. Schuëller 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 565 KB

A novel procedure to establish probability density distributions based on insufficient data is introduced. The approach requires the selection of a confidence level to cover the unknown distribution. The use of kernel densities is proposed for its high fidelity to data and its capability to represen