List questions from linear-regression

Published on 10 Mar 2020 - 16:18

141

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A neat proof of equality involving projection matrices that is reminiscent of Cauchy-Schwarz

Published on 26 Mar 2026 - 22:18

281

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Generalized Least Squares results

Published on 17 Mar 2020 - 6:39

45

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Othogonality and bias in regression

Published on 26 Mar 2026 - 22:17

333

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Show that the maximum likelihood estimate of $\sigma^2$ is biased

Published on 20 Mar 2020 - 9:42

51

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Can anyone advise me on how to solve this minimisation problem?

Published on 25 Mar 2026 - 12:53

204

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Multiple linear regression and the betas

Published on 22 Mar 2020 - 19:50

76

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Why in Statistics do we use R-squared when Comparing Linear Models instead of Least Squares?

Published on 22 Mar 2020 - 23:35

127

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Claim: If (X, Y) ⊥ Z, then X ⊥ Z and Y ⊥ Z. True or False? If false, what about if (X,Y) are jointly Gaussian?

Published on 23 Mar 2020 - 21:35

29

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How should one interpret the Normal/Gaussian Distribution function?

Published on 23 Feb 2026 - 4:33

108

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Solution Form of a Ridge Regression Problem

Published on 27 Mar 2020 - 8:53

32

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Manipulation of block matrices - correct techniques and advice?

Published on 26 Mar 2026 - 11:06

112

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Normal distribution of linear regression coefficients

Published on 28 Mar 2020 - 19:45

28

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Linear regression with Y Rayleigh

Published on 29 Mar 2020 - 11:13

25

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Prove that there are unique values $w,b$ such that $L_2(w,b) = \sum_{i=1}^{n}(wx_i + b - y_i)^2$ is minimized.

Published on 31 Mar 2020 - 17:35

List Question

Linear regression with and without error

A neat proof of equality involving projection matrices that is reminiscent of Cauchy-Schwarz

Generalized Least Squares results

Othogonality and bias in regression

Show that the maximum likelihood estimate of $\sigma^2$ is biased

Can anyone advise me on how to solve this minimisation problem?

Multiple linear regression and the betas

Why in Statistics do we use R-squared when Comparing Linear Models instead of Least Squares?

Claim: If (X, Y) ⊥ Z, then X ⊥ Z and Y ⊥ Z. True or False? If false, what about if (X,Y) are jointly Gaussian?

How should one interpret the Normal/Gaussian Distribution function?

Solution Form of a Ridge Regression Problem

Manipulation of block matrices - correct techniques and advice?

Normal distribution of linear regression coefficients

Linear regression with Y Rayleigh

Prove that there are unique values $w,b$ such that $L_2(w,b) = \sum_{i=1}^{n}(wx_i + b - y_i)^2$ is minimized.

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