Question

Calculating Expected Utility with Beta-distributed RV - which way is correct?

score 49 · Answer 1 · 2017-07-19 20:06:39

49

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Calculating Expected Utility with Beta-distributed RV - which way is correct?

Published on 19 Jul 2017 - 20:06

score 102 · Answer 2 · 2017-07-20 08:54:19

102

Views

Computing Expected Value

Published on 20 Jul 2017 - 8:54

score 1.4k · Answer 3 · 2026-02-23 17:22:31

1.4k

Views

Proving that the language is not recursive enumerable

Published on 23 Feb 2026 - 17:22

score 199 · Answer 4 · 2017-08-06 15:22:26

199

Views

Proving that the language is in class P

Published on 06 Aug 2017 - 15:22

score 124 · Answer 5 · 2017-08-18 06:50:25

124

Views

Is there any framework similar to Bayesian Preposterior Analysis for Value of Information?

Published on 18 Aug 2017 - 6:50

score 137 · Answer 6 · 2017-08-24 15:18:19

137

Views

intersection normal distributions and minimal decision error

Published on 24 Aug 2017 - 15:18

score 136 · Answer 7 · 2017-08-30 09:44:17

136

Views

Fixed point to maximum probability measure in decision problem

Published on 30 Aug 2017 - 9:44

score 123 · Answer 8 · 2017-09-24 05:47:19

123

Views

Proof expectation of the maximum utility is monotonic with respect to the size of the choice set.

Published on 24 Sep 2017 - 5:47

score 280 · Answer 9 · 2017-10-01 22:44:07

280

Views

Far-too-simple proof of (limited) Debreu representation theorem; where's the error?

Published on 01 Oct 2017 - 22:44

score 2.9k · Answer 10 · 2017-10-15 16:02:49

2.9k

Views

Gittins Index for a simple example

Published on 15 Oct 2017 - 16:02

score 107 · Answer 11 · 2017-10-23 14:45:35

107

Views

How do you solve the Absent Minded Gambler problem?

Published on 23 Oct 2017 - 14:45

score 100 · Answer 12 · 2017-10-27 17:54:36

100

Views

Decision Making Theory, Maximin

Published on 27 Oct 2017 - 17:54

score 1.3k · Answer 13 · 2017-11-02 21:03:30

1.3k

Views

Calculate risk (under squared error loss) of MSE estimator of normal variance

Published on 02 Nov 2017 - 21:03

score 448 · Answer 14 · 2017-11-05 17:39:22

448

Views

For $X_i\sim N(\mu,\sigma^2)$, how to find the MSE of estimator: $\hat \sigma^2 = \frac 1{n+2}\sum_{i=1}^nX_i^2$.

Published on 05 Nov 2017 - 17:39

score 448 · Answer 15 · 2017-11-06 15:58:19

448

Views

What reasonable loss function results in the maximum posterior estimate?

Published on 06 Nov 2017 - 15:58

List Question

Calculating Expected Utility with Beta-distributed RV - which way is correct?

Computing Expected Value

Proving that the language is not recursive enumerable

Proving that the language is in class P

Is there any framework similar to Bayesian Preposterior Analysis for Value of Information?

intersection normal distributions and minimal decision error

Fixed point to maximum probability measure in decision problem

Proof expectation of the maximum utility is monotonic with respect to the size of the choice set.

Far-too-simple proof of (limited) Debreu representation theorem; where's the error?

Gittins Index for a simple example

How do you solve the Absent Minded Gambler problem?

Decision Making Theory, Maximin

Calculate risk (under squared error loss) of MSE estimator of normal variance

For $X_i\sim N(\mu,\sigma^2)$, how to find the MSE of estimator: $\hat \sigma^2 = \frac 1{n+2}\sum_{i=1}^nX_i^2$.

What reasonable loss function results in the maximum posterior estimate?

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