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Prove Neg. Log Likelihood for Gaussian distribution is convex in mean and variance.

score 8.6k · Answer 1 · 2026-03-25 06:50:33

8.6k

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Prove Neg. Log Likelihood for Gaussian distribution is convex in mean and variance.

Published on 25 Mar 2026 - 6:50

score 182 · Answer 2 · 2026-03-25 15:39:20

182

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How to apply the central Limit theorem?

Published on 25 Mar 2026 - 15:39

score 339 · Answer 3 · 2026-03-25 03:00:44

339

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Circle-shaped integration of a bivariate normal distribution

Published on 25 Mar 2026 - 3:00

score 116 · Answer 4 · 2018-07-17 19:54:44

116

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Normal distribution in an interval

Published on 17 Jul 2018 - 19:54

score 1k · Answer 5 · 2018-07-17 20:46:44

1k

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Find $\lim_{t \to \infty} P (X>t+ \frac{x}{t} | X > t)$ for $X$ ~ $N(0,1)$

Published on 17 Jul 2018 - 20:46

score 44 · Answer 6 · 2018-07-18 13:52:32

44

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Proof concerning standard normal random variable

Published on 18 Jul 2018 - 13:52

score 915 · Answer 7 · 2018-07-19 07:58:18

915

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Distribution of difference of two normally distributed random variables divided by square root of 2

Published on 19 Jul 2018 - 7:58

score 516 · Answer 8 · 2018-07-20 13:55:01

516

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Calculate distributions from random vector

Published on 20 Jul 2018 - 13:55

score 172 · Answer 9 · 2026-03-25 15:46:12

172

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Generating samples of a Gaussian vector with independent components above a hyperplane

Published on 25 Mar 2026 - 15:46

score 107 · Answer 10 · 2018-07-21 11:27:43

107

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Determining multivariate normality

Published on 21 Jul 2018 - 11:27

score 67 · Answer 11 · 2026-03-25 15:41:25

67

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Generating samples of a Gaussian distribution with independent components above a hypersurface

Published on 25 Mar 2026 - 15:41

score 39 · Answer 12 · 2018-07-23 03:01:05

39

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Calculate $E[(F^{-1}(U)-G^{-1}(U))^2]$, where $F^{-1}(t)=\inf\{x\in\Bbb{R}|F(x)>t\}$.

Published on 23 Jul 2018 - 3:01

score 14.1k · Answer 13 · 2026-03-22 11:33:21

14.1k

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Minimum mean squared error of an estimator of the variance of the normal distribution

Published on 22 Mar 2026 - 11:33

score 302 · Answer 14 · 2026-03-25 07:49:13

302

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Expected value of the sample median from a folded normal distribution

Published on 25 Mar 2026 - 7:49

score 533 · Answer 15 · 2018-07-24 15:11:56

533

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The dimension of the parameter space of multivariate normal distribution?

Published on 24 Jul 2018 - 15:11

List Question

Prove Neg. Log Likelihood for Gaussian distribution is convex in mean and variance.

How to apply the central Limit theorem?

Circle-shaped integration of a bivariate normal distribution

Normal distribution in an interval

Find $\lim_{t \to \infty} P (X>t+ \frac{x}{t} | X > t)$ for $X$ ~ $N(0,1)$

Proof concerning standard normal random variable

Distribution of difference of two normally distributed random variables divided by square root of 2

Calculate distributions from random vector

Generating samples of a Gaussian vector with independent components above a hyperplane

Determining multivariate normality

Generating samples of a Gaussian distribution with independent components above a hypersurface

Calculate $E[(F^{-1}(U)-G^{-1}(U))^2]$, where $F^{-1}(t)=\inf\{x\in\Bbb{R}|F(x)>t\}$.

Minimum mean squared error of an estimator of the variance of the normal distribution

Expected value of the sample median from a folded normal distribution

The dimension of the parameter space of multivariate normal distribution?

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