Ridge Regression Minimization Proof

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SUMMARY

The forum discussion centers on the proof of minimization for Ridge Regression, specifically addressing the linear family function defined as f(x;a) = a_{o} + (a_{1}, a_{2}, a_{3},..., a_{k}) \cdot x. The minimization expression is derived as (Xa - Y)^t \sigma^{-1} (Xa-Y) + \lambda (a^t a - a^2_{o}, leading to the solution a = (X^t \sigma^{-1} X + \lambda I_{o})^{-1} X^t \sigma^{-1} Y. The discussion also highlights common LaTeX formatting issues encountered by users when attempting to present mathematical equations.

PREREQUISITES
  • Understanding of Ridge Regression and its mathematical formulation
  • Familiarity with linear algebra concepts, particularly matrix operations
  • Proficiency in LaTeX for formatting mathematical equations
  • Knowledge of statistical concepts such as covariance matrices and regularization
NEXT STEPS
  • Study the derivation of Ridge Regression and its applications in machine learning
  • Learn about the role of covariance matrices in regression analysis
  • Practice LaTeX formatting for mathematical expressions to avoid common errors
  • Explore advanced topics in regularization techniques, including Lasso and Elastic Net
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Students and researchers in statistics, data science practitioners, and anyone involved in machine learning who seeks to understand Ridge Regression and its mathematical underpinnings.

zzmanzz
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Homework Statement



Linear family:

[tex]f(x;a) = a_{o} + (a_{1}.a_{2},a_{3},...,a_{k}) \cdot x[\tex]<br /> <br /> [tex](Xa - Y)^t \sigma^{-1} (Xa-Y) + \lambda (a^t a-a^2_{o} [\tex]<br /> <br /> [tex]a = (X^t \sigma^{-1} X + \lamda I_{o})^{-1} x^t \sigma^{-1} Y [\tex]<br /> <br /> <h2>Homework Equations</h2>[tex]Y_{i} = f(x_{i}) + N_{i} [\tex]<br /> <br /> i = 1,2,3,4,...,k.<br /> <br /> given data [tex]\{ (x_{i},y_{i})\}^2_{i} [\tex]<br /> <br /> [tex]x_{i} [\tex] = vector<br /> [tex]y_{i} [\tex] = scalar<br /> <br /> to minimize we write <br /> <br /> [tex](X(a+\Delta a) - Y)^t \sigma^{-1} (X(a+\Delta a)-Y)[\tex]<br /> <br /> [tex]=(Xa - Y)^t \sigma^{-1} (Xa-Y) + \Delta a^t X^t \sigma^{-1} (Xa-Y)+(Xa-Y)^t \sigma^{-1} + O(\Delta a^t \Delta a)[\tex]<br /> [tex]=(Xa - Y)^t \sigma^{-1} (Xa-Y) + 2\Delta a^t X^t \sigma^{-1} (Xa-Y) + O(\Delta a^t \Delta a)<br /> [\tex]<br /> cond for a:<br /> <br /> [tex]X^t \sigma^{-1} Xa - X^t \sigma^{-1} X = 0[\tex]<br /> <br /> [tex]a = (X^t \sigma^{-1} X)^(-1)X^t \sigma^{-1} Y[\tex]<br /> <br /> <h2>The Attempt at a Solution</h2><br /> <br /> Sorry can someone tell me why my latex is off? I am new to the forums and did my best to use the code? Thanks, I will repost.[/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex]
 
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zzmanzz said:

Homework Statement



Linear family:

[tex]f(x;a) = a_{o} + (a_{1}.a_{2},a_{3},...,a_{k}) \cdot x[\tex]<br /> <br /> [tex](Xa - Y)^t \sigma^{-1} (Xa-Y) + \lambda (a^t a-a^2_{o} [\tex]<br /> <br /> [tex]a = (X^t \sigma^{-1} X + \lamda I_{o})^{-1} x^t \sigma^{-1} Y [\tex]<br /> <br /> <h2>Homework Equations</h2><br /> <br /> <br /> [tex]Y_{i} = f(x_{i}) + N_{i} [\tex]<br /> <br /> i = 1,2,3,4,...,k.<br /> <br /> given data [tex]\{ (x_{i},y_{i})\}^2_{i} [\tex]<br /> <br /> [tex]x_{i} [\tex] = vector<br /> [tex]y_{i} [\tex] = scalar<br /> <br /> to minimize we write <br /> <br /> [tex](X(a+\Delta a) - Y)^t \sigma^{-1} (X(a+\Delta a)-Y)[\tex]<br /> <br /> [tex]=(Xa - Y)^t \sigma^{-1} (Xa-Y) + \Delta a^t X^t \sigma^{-1} (Xa-Y)+(Xa-Y)^t \sigma^{-1} + O(\Delta a^t \Delta a)[\tex]<br /> [tex]=(Xa - Y)^t \sigma^{-1} (Xa-Y) + 2\Delta a^t X^t \sigma^{-1} (Xa-Y) + O(\Delta a^t \Delta a)<br /> [\tex]<br /> cond for a:<br /> <br /> [tex]X^t \sigma^{-1} Xa - X^t \sigma^{-1} X = 0[\tex]<br /> <br /> [tex]a = (X^t \sigma^{-1} X)^(-1)X^t \sigma^{-1} Y[\tex]<br /> <br /> <h2>The Attempt at a Solution</h2><br /> <br /> Sorry can someone tell me why my latex is off? I am new to the forums and did my best to use the code? Thanks, I will repost.[/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex]
[tex][tex][tex][tex][tex][tex][tex][tex][tex][tex][tex][tex] <br /> "\" starts a TeX/LaTeX command; "/" signals "end of TeX. That is, use "[/tex] instead of "[\tex]".<br /> <br /> RGV[/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex][/tex]
 

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