List questions from linear-regression

Published on 29 Aug 2017 - 17:22

605

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Matrix Least Squares on the Rows Instead of Columns

Published on 05 Sep 2017 - 16:44

1.6k

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Why is Y = B0 + B1 * (X^2) linear and Y = B0 + (B1^2) * X not linear in linear regression?

Published on 10 Sep 2017 - 4:21

132

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$L_{1}$ Regression as LP

Published on 15 Sep 2017 - 12:56

4.5k

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The cost function derivation in andrew ng machine learning course

Published on 17 Sep 2017 - 13:08

26

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Finding estimator of $B$ without $A$

Published on 18 Sep 2017 - 22:36

1.4k

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Using linear algebra to study number theory?

Published on 26 Mar 2026 - 17:43

71

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Regression with multiple categories

Published on 20 Sep 2017 - 18:20

156

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Unbiased Estimator of $\sigma^{2}$ from Error (disturbance) term

Published on 26 Mar 2026 - 15:17

495

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How do I take the derivative of a matrix equation?

Published on 22 Sep 2017 - 20:58

231

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R squared formula in linear regression

Published on 22 Sep 2017 - 22:44

124

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Why should different initial points lead to different results for lasso optimization (which is convex)?

Published on 24 Sep 2017 - 8:56

750

Views

Probabilistic Interpretation of Linear Regression: Why is the hypothesis function considered the mean of random variable y?

Published on 26 Sep 2017 - 0:19

248

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Why is $E[(Y-f(X))^2] = E[(Y-f(X))^T(Y-f(X))]$ in derivation of the regression function f?

Published on 27 Sep 2017 - 7:52

124

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Why is $E[g(X,\beta)^T\ g(X,\beta)]$ derived to $\beta$ equals $E[g'(X,\beta)\ g(X,\beta)]$? Why no product rule in deriving?

Published on 27 Sep 2017 - 16:33

List Question

What is the efficiency of OLS estimators?

Matrix Least Squares on the Rows Instead of Columns

Why is Y = B0 + B1 * (X^2) linear and Y = B0 + (B1^2) * X not linear in linear regression?

$L_{1}$ Regression as LP

The cost function derivation in andrew ng machine learning course

Finding estimator of $B$ without $A$

Using linear algebra to study number theory?

Regression with multiple categories

Unbiased Estimator of $\sigma^{2}$ from Error (disturbance) term

How do I take the derivative of a matrix equation?

R squared formula in linear regression

Why should different initial points lead to different results for lasso optimization (which is convex)?

Probabilistic Interpretation of Linear Regression: Why is the hypothesis function considered the mean of random variable y?

Why is $E[(Y-f(X))^2] = E[(Y-f(X))^T(Y-f(X))]$ in derivation of the regression function f?

Why is $E[g(X,\beta)^T\ g(X,\beta)]$ derived to $\beta$ equals $E[g'(X,\beta)\ g(X,\beta)]$? Why no product rule in deriving?

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