Robust scale estimation for the generalized gaussian probability density function

Dahyot, Rozenn (author), Wilson, Simon (author)

This article proposes a robust way to estimate the scale parameter of a generalised centered Gaussian mixture. The principle relies on the associationof samples of this mixture to generate samples of a new variable that shows relevant distribution properties to estimate the unknown parameter.In fact, the distribution of this new variable shows a maximum that is linked to this scale parameter. Using nonparametric modelling of the distribution and the MeanShift procedure, the relevant peak is identified and an estimate is computed. The whole procedure is fully automatic and does not require any prior settings. It is applied to regression problems, and digital data processing.

• Language: English
• Work type: Not categorized
• Typology: 1.01 - Original Scientific Article
• Organization: FDV - Faculty of Social Sciences
• Year: 2006
• Number of pages: Str. 21-37
• Numbering: Vol. 3, no. 1
• PID: 20.500.12556/RUL-8439
• UDC: 303
• ISSN on article: 1854-0023
• COBISS.SI-ID: 25330013
• Publication date in RUL: 11.07.2014

Record is a part of a journal

• Title: Advances in methodology and statistics
• Shortened title: Metodol. zv.
• Publisher: Fakulteta za družbene vede
• ISSN: 1854-0023
• COBISS.SI-ID: 215795712