Question

Ridge regression objective function gradient

score 427 · Answer 1 · 2019-03-02 18:26:24

427

Views

Ridge regression objective function gradient

Published on 02 Mar 2019 - 18:26

score 45 · Answer 2 · 2019-03-03 18:00:11

45

Views

Transforming variable to change a variable so you could use it in a model?

Published on 03 Mar 2019 - 18:00

score 75 · Answer 3 · 2019-03-03 23:00:24

75

Views

Proof by induction of a regression formula (series)

Published on 03 Mar 2019 - 23:00

score 20 · Answer 4 · 2026-03-25 03:02:23

20

Views

Prediction of time series based on lagged correlations

Published on 25 Mar 2026 - 3:02

score 137 · Answer 5 · 2019-03-05 21:25:06

137

Views

How do I fit multiple curves with same fitting parameters?

Published on 05 Mar 2019 - 21:25

score 87 · Answer 6 · 2026-03-26 04:49:46

87

Views

Any evaluatory cheap polynomial regression alternatives for bounded input?

Published on 26 Mar 2026 - 4:49

score 80 · Answer 7 · 2019-03-07 18:52:31

80

Views

Show that $\hat{\beta} - \hat{\beta}_{(i)} = \frac{(X^TX)^{-1}\vec{x}_{i}^{T}(y_i-\hat{y}_i)}{1-h_{ii}}$

Published on 07 Mar 2019 - 18:52

score 181 · Answer 8 · 2019-03-07 20:27:23

In a normal linear model (with intercept), show that if the residuals satisfy $e_i = a + \beta x_i$, then each residual is equal to zero.

score 26 · Answer 9 · 2026-03-25 10:55:42

26

Views

Estimate the mean of the independent variable (regression)

Published on 25 Mar 2026 - 10:55

score 55 · Answer 10 · 2026-03-26 06:07:05

55

Views

Interpreting linear regression coefficients for a covariate that's correlated with other covariates

Published on 26 Mar 2026 - 6:07

score 40 · Answer 11 · 2026-03-25 20:17:37

40

Views

Product of two conditional distributions in Bayesian modelling

Published on 25 Mar 2026 - 20:17

score 89 · Answer 12 · 2019-03-10 14:27:29

89

Views

Existence and uniqueness of least square fits

Published on 10 Mar 2019 - 14:27

score 4.7k · Answer 13 · 2019-03-10 23:36:23

4.7k

Views

How to find quadratic regressions by hand

Published on 10 Mar 2019 - 23:36

score 108 · Answer 14 · 2019-03-11 18:18:14

108

Views

Joint Linear Regression hypothesis test

Published on 11 Mar 2019 - 18:18

score 60 · Answer 15 · 2026-02-23 13:46:12

60

Views

How to calculate $\text{cov}(\hat{Y}_{ij}, \hat{Y}_{kj})$ if $Y_{ij} = \mu + a_i + b_j + e_{ij}$?

Published on 23 Feb 2026 - 13:46

List Question

Ridge regression objective function gradient

Transforming variable to change a variable so you could use it in a model?

Proof by induction of a regression formula (series)

Prediction of time series based on lagged correlations

How do I fit multiple curves with same fitting parameters?

Any evaluatory cheap polynomial regression alternatives for bounded input?

Show that $\hat{\beta} - \hat{\beta}_{(i)} = \frac{(X^TX)^{-1}\vec{x}_{i}^{T}(y_i-\hat{y}_i)}{1-h_{ii}}$

In a normal linear model (with intercept), show that if the residuals satisfy $e_i = a + \beta x_i$, then each residual is equal to zero.

Estimate the mean of the independent variable (regression)

Interpreting linear regression coefficients for a covariate that's correlated with other covariates

Product of two conditional distributions in Bayesian modelling

Existence and uniqueness of least square fits

How to find quadratic regressions by hand

Joint Linear Regression hypothesis test

How to calculate $\text{cov}(\hat{Y}_{ij}, \hat{Y}_{kj})$ if $Y_{ij} = \mu + a_i + b_j + e_{ij}$?

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