Question

Hölder's Inequality and $\frac{b}{1/b^\prime} = bb^\prime = \frac{(S_{xy})^2}{S_{xx} S_{yy}}$ get us that $(S_{xy})^2 \le S_{xx} S_{yy}$?

score 54 · Answer 1 · 2026-03-27 01:00:05

54

Views

Hölder's Inequality and $\frac{b}{1/b^\prime} = bb^\prime = \frac{(S_{xy})^2}{S_{xx} S_{yy}}$ get us that $(S_{xy})^2 \le S_{xx} S_{yy}$?

Published on 27 Mar 2026 - 1:00

score 91 · Answer 2 · 2020-08-28 20:04:14

91

Views

When can a matrix product be simplified by multiplying inverse matrices to get identity matrix; example (OLS estimator)

Published on 28 Aug 2020 - 20:04

score 52 · Answer 3 · 2020-08-29 11:07:55

52

Views

Is there an alternate way of writing $E[Y]E[X^2] - E[X]E[XY]$?

Published on 29 Aug 2020 - 11:07

score 128 · Answer 4 · 2020-08-29 16:32:23

128

Views

Iteratively Reweighted Least Squares

Published on 29 Aug 2020 - 16:32

score 197 · Answer 5 · 2020-09-01 11:22:57

197

Views

Iteratively Reweighted Least Squares: termination criterion

Published on 01 Sep 2020 - 11:22

score 54 · Answer 6 · 2020-09-02 17:47:45

54

Views

Dealing with two least squares problem and an $L1$ Regularization term

Published on 02 Sep 2020 - 17:47

score 28 · Answer 7 · 2020-09-03 12:33:48

28

Views

Least squares wih variable bounds

Published on 03 Sep 2020 - 12:33

score 703 · Answer 8 · 2026-03-30 02:03:38

703

Views

Regression linear model without error term

Published on 30 Mar 2026 - 2:03

score 78 · Answer 9 · 2026-03-27 06:06:33

78

Views

How can I solve this nonlinear-projection optimization problem?

Published on 27 Mar 2026 - 6:06

score 110 · Answer 10 · 2026-03-30 17:54:44

110

Views

Least Square Adjustment for normally distributed data is a MLE?

Published on 30 Mar 2026 - 17:54

score 609 · Answer 11 · 2020-09-09 01:48:11

609

Views

How to Solve Large Scale Matrix Least Squares with Frobenius Regularization Problem efficiently?

Published on 09 Sep 2020 - 1:48

score 212 · Answer 12 · 2020-09-12 15:08:44

212

Views

Understanding and implementing a multilateration localization algorithm.

Published on 12 Sep 2020 - 15:08

score 245 · Answer 13 · 2026-03-30 02:06:43

245

Views

Does quadratic risk of MLE for multivariate linear regression go to zero with more and more data?

Published on 30 Mar 2026 - 2:06

score 618 · Answer 14 · 2026-03-25 19:02:51

618

Views

Why is polynomial fit not a good choice or a good extrapolation technique?

Published on 25 Mar 2026 - 19:02

score 47 · Answer 15 · 2020-09-18 13:58:21

47

Views

Derive least square equation $A^TA\hat{x} = A^Tb$ from $||A\hat{x} - b||_2^2$

Published on 18 Sep 2020 - 13:58

List Question

Hölder's Inequality and $\frac{b}{1/b^\prime} = bb^\prime = \frac{(S_{xy})^2}{S_{xx} S_{yy}}$ get us that $(S_{xy})^2 \le S_{xx} S_{yy}$?

When can a matrix product be simplified by multiplying inverse matrices to get identity matrix; example (OLS estimator)

Is there an alternate way of writing $E[Y]E[X^2] - E[X]E[XY]$?

Iteratively Reweighted Least Squares

Iteratively Reweighted Least Squares: termination criterion

Dealing with two least squares problem and an $L1$ Regularization term

Least squares wih variable bounds

Regression linear model without error term

How can I solve this nonlinear-projection optimization problem?

Least Square Adjustment for normally distributed data is a MLE?

How to Solve Large Scale Matrix Least Squares with Frobenius Regularization Problem efficiently?

Understanding and implementing a multilateration localization algorithm.

Does quadratic risk of MLE for multivariate linear regression go to zero with more and more data?

Why is polynomial fit not a good choice or a good extrapolation technique?

Derive least square equation $A^TA\hat{x} = A^Tb$ from $||A\hat{x} - b||_2^2$

Trending Questions

Popular # Hahtags

Popular Questions