Question

Test if one Poisson process's rate is smaller than a number

score 47 · Answer 1 · 2026-03-28 06:48:08

47

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Test if one Poisson process's rate is smaller than a number

Published on 28 Mar 2026 - 6:48

score 4.1k · Answer 2 · 2026-03-28 01:07:11

4.1k

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Proof of Karlin-Rubin's theorem, detail about a real analysis fact.

Published on 28 Mar 2026 - 1:07

score 591 · Answer 3 · 2026-03-28 01:06:50

591

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condition for asymptotic normality of MLE

Published on 28 Mar 2026 - 1:06

score 37 · Answer 4 · 2017-01-09 07:36:12

37

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If $Y_1, \ldots, Y_n \sim N(\mu, 1)$ & $Z_1, \ldots, Z_n \sim N(\mu+\beta, 1)$ are indep., does $P(Y,Z|\mu) = P(Y|\mu)P(Z|\mu)$ or $P(YZ)=P(Y)P(Z)$?

Published on 09 Jan 2017 - 7:36

score 74 · Answer 5 · 2017-01-09 13:06:32

74

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What is the MLE of $1 - \theta$ if the MLE of $\theta$ is already known

Published on 09 Jan 2017 - 13:06

score 61 · Answer 6 · 2026-03-29 07:28:48

61

Views

MLE but with convergence in distribution

Published on 29 Mar 2026 - 7:28

score 55 · Answer 7 · 2017-01-11 01:35:50

55

Views

Suppose that $T$ is a t-distribution with $n$ df. How can we find $E(|T|)$ through the relation between $T$ and the $F$ distribution?

Published on 11 Jan 2017 - 1:35

score 148 · Answer 8 · 2017-01-11 05:51:10

148

Views

Likelihood function & MLE without known values of observed data

Published on 11 Jan 2017 - 5:51

score 441 · Answer 9 · 2017-01-11 11:28:50

441

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Expectation and variance of the maximum likelihood estimator

Published on 11 Jan 2017 - 11:28

score 41 · Answer 10 · 2026-03-26 06:20:12

41

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What does Cramer's Low Bound have to do with Maximization Likelihood Estimation?

Published on 26 Mar 2026 - 6:20

score 51 · Answer 11 · 2017-01-15 23:04:53

51

Views

Showing that $Var(log(Y_i)) \approx \frac{1}{\alpha}$ if $Y_i = x_i^T\beta\epsilon_i$ with $\epsilon_i \sim N\left(1, \frac{1}{\alpha}\right)$?

Published on 15 Jan 2017 - 23:04

score 152 · Answer 12 · 2017-01-18 07:32:53

152

Views

Intuitive explanantion for random vectors and estimation theory

Published on 18 Jan 2017 - 7:32

score 554 · Answer 13 · 2026-03-29 17:25:13

554

Views

Reference for information theory and bayesian inference

Published on 29 Mar 2026 - 17:25

score 421 · Answer 14 · 2026-03-28 03:00:26

421

Views

How to calculate per data point likelihood

Published on 28 Mar 2026 - 3:00

score 974 · Answer 15 · 2026-03-25 12:23:58

974

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Find constant that satisfies joint probability mass function for $X$ and $Y$

Published on 25 Mar 2026 - 12:23

List Question

Test if one Poisson process's rate is smaller than a number

Proof of Karlin-Rubin's theorem, detail about a real analysis fact.

condition for asymptotic normality of MLE

If $Y_1, \ldots, Y_n \sim N(\mu, 1)$ & $Z_1, \ldots, Z_n \sim N(\mu+\beta, 1)$ are indep., does $P(Y,Z|\mu) = P(Y|\mu)P(Z|\mu)$ or $P(YZ)=P(Y)P(Z)$?

What is the MLE of $1 - \theta$ if the MLE of $\theta$ is already known

MLE but with convergence in distribution

Suppose that $T$ is a t-distribution with $n$ df. How can we find $E(|T|)$ through the relation between $T$ and the $F$ distribution?

Likelihood function & MLE without known values of observed data

Expectation and variance of the maximum likelihood estimator

What does Cramer's Low Bound have to do with Maximization Likelihood Estimation?

Showing that $Var(log(Y_i)) \approx \frac{1}{\alpha}$ if $Y_i = x_i^T\beta\epsilon_i$ with $\epsilon_i \sim N\left(1, \frac{1}{\alpha}\right)$?

Intuitive explanantion for random vectors and estimation theory

Reference for information theory and bayesian inference

How to calculate per data point likelihood

Find constant that satisfies joint probability mass function for $X$ and $Y$

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