Question

Sampling from Bayesian posterior without a tractable prior

score 172 · Answer 1 · 2026-03-27 06:15:12

172

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Sampling from Bayesian posterior without a tractable prior

Published on 27 Mar 2026 - 6:15

score 93 · Answer 2 · 2017-07-26 19:37:16

93

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How would you rank the utility of Statistical Inference vs Stochastic Processes

Published on 26 Jul 2017 - 19:37

score 54 · Answer 3 · 2026-03-27 02:50:43

54

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Ising model states taking on values {0,1} vs {-1,1}.

Published on 27 Mar 2026 - 2:50

score 118 · Answer 4 · 2026-03-31 13:39:02

118

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Rigorous criteria for the choice of an area of rejection in statistical hypothesis tests

Published on 31 Mar 2026 - 13:39

score 34 · Answer 5 · 2026-04-01 07:22:55

34

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Term for consistent estimator with respect to $a \to a_0$ not ($n \to \infty$)

Published on 01 Apr 2026 - 7:22

score 27 · Answer 6 · 2017-08-02 05:50:44

27

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Which book to prefer for learning about randomised estimators?

Published on 02 Aug 2017 - 5:50

score 302 · Answer 7 · 2026-03-27 07:11:42

302

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descriptive statistics as generative models

Published on 27 Mar 2026 - 7:11

score 79 · Answer 8 · 2017-08-03 21:02:56

79

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expected value and variance of a binomial variable

Published on 03 Aug 2017 - 21:02

score 36 · Answer 9 · 2017-08-04 09:23:05

36

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Is it correct to say that precision is a parameter of a group of measurements while accuracy is a parameter of a SINGLE measurement?

Published on 04 Aug 2017 - 9:23

score 724 · Answer 10 · 2026-04-06 15:39:26

724

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What distribution other than Bernouli can be defined on a binary variable?

Published on 06 Apr 2026 - 15:39

score 31 · Answer 11 · 2026-03-29 15:03:15

31

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How a constant is derived from equation in Kullback-Liebler divergence

Published on 29 Mar 2026 - 15:03

score 193 · Answer 12 · 2026-02-25 12:58:58

193

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Point and interval estimation of normal variance $\theta$ when the mean $\mu$ is known.

Published on 25 Feb 2026 - 12:58

score 83 · Answer 13 · 2026-03-30 03:55:36

83

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Show that a certain likelihood ratio test (for common mean of exponential RVs) is distribution free

Published on 30 Mar 2026 - 3:55

score 48 · Answer 14 · 2026-02-25 13:03:02

48

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If $X_i \sim \text{EXP}(\lambda)$ and $Y_j \sim \text{EXP}(\mu)$, find an equal-tail confidence interval for $\tau = \lambda/\mu$

Published on 25 Feb 2026 - 13:03

score 900 · Answer 15 · 2026-03-31 13:41:19

900

Views

Understanding likelihood ratio in Neyman-Pearson Lemma

Published on 31 Mar 2026 - 13:41

List Question

Sampling from Bayesian posterior without a tractable prior

How would you rank the utility of Statistical Inference vs Stochastic Processes

Ising model states taking on values {0,1} vs {-1,1}.

Rigorous criteria for the choice of an area of rejection in statistical hypothesis tests

Term for consistent estimator with respect to $a \to a_0$ not ($n \to \infty$)

Which book to prefer for learning about randomised estimators?

descriptive statistics as generative models

expected value and variance of a binomial variable

Is it correct to say that precision is a parameter of a group of measurements while accuracy is a parameter of a SINGLE measurement?

What distribution other than Bernouli can be defined on a binary variable?

How a constant is derived from equation in Kullback-Liebler divergence

Point and interval estimation of normal variance $\theta$ when the mean $\mu$ is known.

Show that a certain likelihood ratio test (for common mean of exponential RVs) is distribution free

If $X_i \sim \text{EXP}(\lambda)$ and $Y_j \sim \text{EXP}(\mu)$, find an equal-tail confidence interval for $\tau = \lambda/\mu$

Understanding likelihood ratio in Neyman-Pearson Lemma

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