Question

What is the MLE of $~(x_1,\cdots,x_n)~$ realizations with pdf $~λ~x^{-2}~$?

score 28 · Answer 1 · 2019-09-16 23:58:44

28

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What is the MLE of $~(x_1,\cdots,x_n)~$ realizations with pdf $~λ~x^{-2}~$?

Published on 16 Sep 2019 - 23:58

score 363 · Answer 2 · 2019-09-18 01:08:42

363

Views

Bayesian Inference with Conjugate prior as beta distribution and RV as Bernoulli trials

Published on 18 Sep 2019 - 1:08

score 86 · Answer 3 · 2019-09-18 12:55:35

86

Views

(posterior mean) = lambda(prior mean) + (1-lambda)(max likelihood estimate

Published on 18 Sep 2019 - 12:55

score 45 · Answer 4 · 2019-09-18 19:12:58

45

Views

combining dependent likelihoods

Published on 18 Sep 2019 - 19:12

score 622 · Answer 5 · 2019-09-19 20:26:07

622

Views

Bias of the MLE of the geometric distribution

Published on 19 Sep 2019 - 20:26

score 2k · Answer 6 · 2014-03-22 12:48:26

2k

Views

Likelihood Function for the Uniform Density $(\theta, \theta+1)$

Published on 22 Mar 2014 - 12:48

score 899 · Answer 7 · 2014-04-23 09:09:05

899

Views

$MLE$ of $\theta$ when $X_1 , X_2 , ..., X_n$ is a sample with pdf $f(x, \theta) = e^{\theta - x}; x \ge \theta$

Published on 23 Apr 2014 - 9:09

score 804 · Answer 8 · 2014-05-01 02:29:06

804

Views

Maximum Likelihood (ML) vs Maximum a Posteriori Estimation (MAP), When to Use Which?

Published on 01 May 2014 - 2:29

score 2.6k · Answer 9 · 2014-05-14 12:58:56

2.6k

Views

Maximum Likelihood Estimator for Uniform Distribution

Published on 14 May 2014 - 12:58

score 1.8k · Answer 10 · 2014-09-22 23:19:43

1.8k

Views

Maximum Likelihood Estimation Question

Published on 22 Sep 2014 - 23:19

score 2.7k · Answer 11 · 2014-10-14 19:36:18

2.7k

Views

Maximum likelihood estimate of $N$ (trials) in Binomial

Published on 14 Oct 2014 - 19:36

score 50 · Answer 12 · 2019-10-02 16:00:18

50

Views

bayes classifier & maximum likelihood classifier

Published on 02 Oct 2019 - 16:00

score 199 · Answer 13 · 2019-10-07 14:23:42

199

Views

Find a Maximum Likelihood Estimator for $\theta$

Published on 07 Oct 2019 - 14:23

score 198 · Answer 14 · 2019-10-07 20:05:50

198

Views

Maximizing chance that randomly drawn numbers fill a row or column

Published on 07 Oct 2019 - 20:05

score 42 · Answer 15 · 2026-03-25 06:50:33

42

Views

Why is the expected gradient of a density not parallel to the expected gradient of the log density?

Published on 25 Mar 2026 - 6:50

List Question

What is the MLE of $~(x_1,\cdots,x_n)~$ realizations with pdf $~λ~x^{-2}~$?

Bayesian Inference with Conjugate prior as beta distribution and RV as Bernoulli trials

(posterior mean) = lambda(prior mean) + (1-lambda)(max likelihood estimate

combining dependent likelihoods

Bias of the MLE of the geometric distribution

Likelihood Function for the Uniform Density $(\theta, \theta+1)$

$MLE$ of $\theta$ when $X_1 , X_2 , ..., X_n$ is a sample with pdf $f(x, \theta) = e^{\theta - x}; x \ge \theta$

Maximum Likelihood (ML) vs Maximum a Posteriori Estimation (MAP), When to Use Which?

Maximum Likelihood Estimator for Uniform Distribution

Maximum Likelihood Estimation Question

Maximum likelihood estimate of $N$ (trials) in Binomial

bayes classifier & maximum likelihood classifier

Find a Maximum Likelihood Estimator for $\theta$

Maximizing chance that randomly drawn numbers fill a row or column

Why is the expected gradient of a density not parallel to the expected gradient of the log density?

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