Question

Law of total probability conditional on normal distribution

score 25 · Answer 1 · 2023-08-24 11:39:40

25

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Law of total probability conditional on normal distribution

Published on 24 Aug 2023 - 11:39

score 143 · Answer 2 · 2023-08-25 13:02:57

143

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Deriving the posterior predictive mean for a Gaussian process with nonzero mean function

Published on 25 Aug 2023 - 13:02

score 39 · Answer 3 · 2026-03-29 03:12:17

39

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Performing Maximum A Posteriori estimation on a set of dice results.

Published on 29 Mar 2026 - 3:12

score 24 · Answer 4 · 2026-03-28 10:17:36

24

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Expected squared difference between between the ML estimator and the posterior expectation.

Published on 28 Mar 2026 - 10:17

score 17 · Answer 5 · 2026-03-14 01:56:44

17

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The difference between the Bayesian estimator and MLE multiplied by $\sqrt{n}$ converges to zero.

Published on 14 Mar 2026 - 1:56

score 44 · Answer 6 · 2023-09-07 12:42:59

44

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What are the regularity conditions of the Bernstein-von Mises theorem in simple one-dimensional case?

Published on 07 Sep 2023 - 12:42

score 27 · Answer 7 · 2026-03-30 00:22:56

27

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Are we finding the density of $x$ or evaluating the density of $\theta$ at $x$? | Alpyadin Machine Learning

Published on 30 Mar 2026 - 0:22

score 42 · Answer 8 · 2023-09-11 03:26:16

42

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How to prove $x^T\Sigma x$ is quadratic?

Published on 11 Sep 2023 - 3:26

score 96 · Answer 9 · 2026-03-29 16:47:36

96

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Confusion with Complex Gaussian process with Auto-covariance

Published on 29 Mar 2026 - 16:47

score 73 · Answer 10 · 2026-02-23 04:51:48

73

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Marginal Posterior Distribution for Multinomial/Dirichlet Variables

Published on 23 Feb 2026 - 4:51

score 71 · Answer 11 · 2023-09-15 18:46:00

71

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Is there a better way to describe statistical "chance" on TV?

Published on 15 Sep 2023 - 18:46

score 48 · Answer 12 · 2026-03-26 21:25:52

48

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For any chaotic system such as a chaotic attractor does there exist a higher dimensional representation in which the system is no longer chaotic?

Published on 26 Mar 2026 - 21:25

score 103 · Answer 13 · 2023-09-22 09:41:22

103

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About the notation $\mathbb{E}_t [\text{d} s_t]$

Published on 22 Sep 2023 - 9:41

score 92 · Answer 14 · 2023-09-23 09:52:07

92

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Deriving the expression for the posterior predictive distribution.

Published on 23 Sep 2023 - 9:52

score 39 · Answer 15 · 2023-09-25 11:18:08

39

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Bayesian statistics - explanation of evidence

Published on 25 Sep 2023 - 11:18

List Question

Law of total probability conditional on normal distribution

Deriving the posterior predictive mean for a Gaussian process with nonzero mean function

Performing Maximum A Posteriori estimation on a set of dice results.

Expected squared difference between between the ML estimator and the posterior expectation.

The difference between the Bayesian estimator and MLE multiplied by $\sqrt{n}$ converges to zero.

What are the regularity conditions of the Bernstein-von Mises theorem in simple one-dimensional case?

Are we finding the density of $x$ or evaluating the density of $\theta$ at $x$? | Alpyadin Machine Learning

How to prove $x^T\Sigma x$ is quadratic?

Confusion with Complex Gaussian process with Auto-covariance

Marginal Posterior Distribution for Multinomial/Dirichlet Variables

Is there a better way to describe statistical "chance" on TV?

For any chaotic system such as a chaotic attractor does there exist a higher dimensional representation in which the system is no longer chaotic?

About the notation $\mathbb{E}_t [\text{d} s_t]$

Deriving the expression for the posterior predictive distribution.

Bayesian statistics - explanation of evidence

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