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Specifying the design matrix to minimize a prediction interval in a multivariate regression setting

score 149 · Answer 1 · 2017-07-18 20:56:00

149

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Specifying the design matrix to minimize a prediction interval in a multivariate regression setting

Published on 18 Jul 2017 - 20:56

score 34.5k · Answer 2 · 2026-03-28 15:56:02

34.5k

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what is the variance of a constant matrix times a random vector?

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score 133 · Answer 3 · 2017-07-22 02:05:19

133

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score 1k · Answer 4 · 2026-03-26 13:30:29

1k

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score 1.8k · Answer 5 · 2017-07-26 16:29:42

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score 2.3k · Answer 6 · 2017-07-27 15:00:15

2.3k

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score 3.4k · Answer 7 · 2026-03-26 14:28:19

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Published on 26 Mar 2026 - 14:28

score 223 · Answer 8 · 2026-03-26 13:30:12

223

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Is there a way to calculate an R^2 value between a two sets of data points on Excel? If not, how may I compare how close they are to each other?

Published on 26 Mar 2026 - 13:30

score 3.7k · Answer 9 · 2017-08-18 14:55:20

3.7k

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why is R-square NOT well-defined for a regression without a constant term

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score 1.5k · Answer 10 · 2017-08-21 21:36:04

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Convert log model to linear model

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score 1.7k · Answer 11 · 2017-08-23 15:04:22

1.7k

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Least Square Linear Regression with P Norm Regularization Where $ 1 \leq P \leq 2 $

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score 1.4k · Answer 12 · 2017-08-24 02:23:28

1.4k

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Question on Maximum Likelihood Estimation of Linear Regression

Published on 24 Aug 2017 - 2:23

score 127 · Answer 13 · 2017-08-24 06:43:22

127

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score 119 · Answer 14 · 2026-03-26 13:30:15

119

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Published on 26 Mar 2026 - 13:30

score 4.5k · Answer 15 · 2017-08-28 22:46:22

4.5k

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Question about the objective function of Linear regression

Published on 28 Aug 2017 - 22:46

List Question

Specifying the design matrix to minimize a prediction interval in a multivariate regression setting

what is the variance of a constant matrix times a random vector?

Generates a list of all possible n-tuples of elements from list

Proving Linear Regression by Using Physical Springs Model

Connection Between Orthogonal Projection onto the Unit Simplex and the Softmax Function

Objective function of linear regression problem with regularization

Logistic Regression: When can the cost function be non-convex?

Is there a way to calculate an R^2 value between a two sets of data points on Excel? If not, how may I compare how close they are to each other?

why is R-square NOT well-defined for a regression without a constant term

Convert log model to linear model

Least Square Linear Regression with P Norm Regularization Where $ 1 \leq P \leq 2 $

Question on Maximum Likelihood Estimation of Linear Regression

Curve fitting on small and dense dataset as straight as possible

What is the intuition behind loss functions in regression? Can I create one? What rules should I follow?

Question about the objective function of Linear regression

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