The author has developed the H-method of mathematical modeling that builds up the model by parts, where each part is optimized with respect to prediction. Besides providing with better predictions than traditional methods, these methods provide with graphic procedures for analyzing different features in data. These graphic methods extend the well-known methods and results of Principal Component Analysis to any linear model. Here the graphic procedures are applied to linear regression and Ridge Regression.
|Title of host publication||Symposium i Anvendt Statistik|
|Publication status||Published - 2004|
|Event||Symposium i Anvendt Statistik 2004 - København, Denmark|
Duration: 5 Nov 2004 → …
|Conference||Symposium i Anvendt Statistik 2004|
|Period||05/11/2004 → …|