List questions from mean-square-error

275

Views

Prove convergence in mean square implies convergence in probability: the following proof looks wrong to me.

Published on 14 Apr 2026 - 0:26

15

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what will the slope of mean vs std tell us?

Published on 15 Apr 2026 - 19:36

46

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On gradient descent on $\beta \mapsto \frac1n \sum_{i=1}^{m} r_i^2(\beta)$

Published on 16 Apr 2026 - 18:43

56

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Decomposition of MSE in Markov Chain

Published on 09 Apr 2026 - 18:20

88

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Determining whether $\hat{\beta}_1$ is unbiased

Published on 13 Apr 2026 - 22:04

66

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Density estimation with Orthogonal series

Published on 11 Apr 2026 - 2:00

40

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Bound for MSE of the Kernel Density Estimator

Published on 11 Apr 2026 - 12:59

266

Views

What's the significance of Mean Squared Error? Why not something else?

Published on 10 Apr 2026 - 2:30

71

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MSE of estimator method of moments

Published on 10 Apr 2026 - 13:11

24

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What is the best metric to compute the error for complex time series data?

Published on 12 Apr 2026 - 7:54

52

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Getting a tight enough upper bound for root mean square like quantity

Published on 16 Apr 2026 - 6:27

23

Views

Mean Squared Error incompatible definitions

Published on 25 Mar 2026 - 20:39

72

Views

Derive $ \sum_{i=1}^N \operatorname{Cov}\left(\hat{y}_i, y_i\right)=d \sigma_{\varepsilon}^2 $.

Published on 17 Apr 2026 - 15:58

47

Views

Independence of random sequences

Published on 11 Apr 2026 - 16:25

58

Views

Calculating the RMSE and $R^2$ with a linear model $y = a + bx$ so that the mean squared error of the model is minimised

Published on 25 Mar 2026 - 11:20

List Question

Prove convergence in mean square implies convergence in probability: the following proof looks wrong to me.

what will the slope of mean vs std tell us?

On gradient descent on $\beta \mapsto \frac1n \sum_{i=1}^{m} r_i^2(\beta)$

Decomposition of MSE in Markov Chain

Determining whether $\hat{\beta}_1$ is unbiased

Density estimation with Orthogonal series

Bound for MSE of the Kernel Density Estimator

What's the significance of Mean Squared Error? Why not something else?

MSE of estimator method of moments

What is the best metric to compute the error for complex time series data?

Getting a tight enough upper bound for root mean square like quantity

Mean Squared Error incompatible definitions

Derive $ \sum_{i=1}^N \operatorname{Cov}\left(\hat{y}_i, y_i\right)=d \sigma_{\varepsilon}^2 $.

Independence of random sequences

Calculating the RMSE and $R^2$ with a linear model $y = a + bx$ so that the mean squared error of the model is minimised

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