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All Blog Posts Tagged 'linear regression' (2)

Iterative Algorithm for Linear Regression

I am trying to solve the regression Y=AX where Y is the response, X the input, and A the regression coefficients. I came up with the following iterative algorithm:

Ak+1 = cYU + Ak (I-cXU),


where:



  • c is an arbitrary constant
  • U is an arbitrary matrix such that YU has same dimension as A. For instance U = transposed(X)…
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Added by Vincent Granville on July 30, 2008 at 6:00pm — No Comments

Source code for Robust Ridge and Linear Regression with Bootstrap

Works well with non Gaussian data or outliers. Allows you to set up bounds on the regression parameters (similar to ridge regression). Does not use matrix inversion, thus numerically stable. Robust parameter estimation based on Monte-Carlo simulations and re-sampling. The source code can easily be modified to perform logistic regression. This package can be used by scientists, programmers, analysts or engineers with limited statistical knowledge. Works on Unix, Linux or Windows. We will help… Continue

Added by Vincent Granville on March 1, 2008 at 3:00pm — No Comments

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