full-information best choice problem
GPTKB entity
Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:alsoKnownAs |
full-information secretary problem
|
| gptkbp:citation |
Ferguson, T. S., & Robertson, J. (1978). The full-information best choice problem with independent normal random variables. Advances in Applied Probability, 10(2), 446-451.
Ferguson, T. S. (1989). Who solved the secretary problem? Statistical Science, 4(3), 282-296. |
| gptkbp:describes |
A variant of the secretary problem where the decision maker observes the actual values of candidates drawn from a known distribution.
|
| gptkbp:distribution |
known continuous distribution
|
| gptkbp:field |
gptkb:probability_theory
optimal stopping theory |
| gptkbp:firstPublished |
1978
|
| gptkbp:goal |
To maximize the probability of selecting the maximum value from a sequence.
|
| https://www.w3.org/2000/01/rdf-schema#label |
full-information best choice problem
|
| gptkbp:notableAchievement |
Asymptotic probability of success approaches 0.580164... for large n
|
| gptkbp:relatedTo |
gptkb:secretary_problem
|
| gptkbp:sequence |
independent random variables
|
| gptkbp:solvedBy |
optimal stopping rule
|
| gptkbp:studiedBy |
gptkb:Thomas_S._Ferguson
gptkb:James_L._Robertson |
| gptkbp:bfsParent |
gptkb:House-selling_problem
|
| gptkbp:bfsLayer |
8
|