On a Role for Copula's in Jeffrey's Rule with An Application to Decision Making
We introduce Jeffrey's rule of conditioning. We explain how it enables us to determine the current probability of an event using a collection of conditional probabilities of the event determined from past experiences and the current probabilities of the conditioning events. We note the importan...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yager, Ronald R [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015 Wiley Periodicals, Inc. © COPYRIGHT 2015 Wiley Subscription Services, Inc. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: International journal of intelligent systems - New York,NY : Wiley, 1986, 30(2015), 11, Seite 1117-1132 |
|---|---|
| Übergeordnetes Werk: |
volume:30 ; year:2015 ; number:11 ; pages:1117-1132 |
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| DOI / URN: |
10.1002/int.21736 |
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| 520 | |a We introduce Jeffrey's rule of conditioning. We explain how it enables us to determine the current probability of an event using a collection of conditional probabilities of the event determined from past experiences and the current probabilities of the conditioning events. We note the importance of the joint probabilities of the event of interest and the conditioning events in obtaining the required conditional probabilities. We investigate the use of copula's to help obtain these required joint probabilities. We then apply our results to a problem of financial decision making in which the success of the stock issue of a new company depends on the quality of management of company. Here, past history tells information about the success of a typical company based on its quality of management and our own observations provides information about the quality of the current companies management. | ||
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10.1002/int.21736 doi PQ20160617 (DE-627)OLC1957477245 (DE-599)GBVOLC1957477245 (PRQ)c3029-c8adfdbffdb041a97453a6f2a4b515f99470eba26f8fdcdfdeaec97f5b05b53 (KEY)0154091220150000030001101117onaroleforcopulasinjeffreysrulewithanapplicationto DE-627 ger DE-627 rakwb eng 004 ZDB Yager, Ronald R verfasserin aut On a Role for Copula's in Jeffrey's Rule with An Application to Decision Making 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We introduce Jeffrey's rule of conditioning. We explain how it enables us to determine the current probability of an event using a collection of conditional probabilities of the event determined from past experiences and the current probabilities of the conditioning events. We note the importance of the joint probabilities of the event of interest and the conditioning events in obtaining the required conditional probabilities. We investigate the use of copula's to help obtain these required joint probabilities. We then apply our results to a problem of financial decision making in which the success of the stock issue of a new company depends on the quality of management of company. Here, past history tells information about the success of a typical company based on its quality of management and our own observations provides information about the quality of the current companies management. Nutzungsrecht: © 2015 Wiley Periodicals, Inc. © COPYRIGHT 2015 Wiley Subscription Services, Inc. Decision making Quality Decision-making Alajlan, Naif oth Enthalten in International journal of intelligent systems New York,NY : Wiley, 1986 30(2015), 11, Seite 1117-1132 (DE-627)12922457X (DE-600)56800-4 (DE-576)014458292 0884-8173 nnns volume:30 year:2015 number:11 pages:1117-1132 http://dx.doi.org/10.1002/int.21736 Volltext http://onlinelibrary.wiley.com/doi/10.1002/int.21736/abstract http://search.proquest.com/docview/1713692305 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-BBI GBV_ILN_70 GBV_ILN_2244 AR 30 2015 11 1117-1132 |
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We introduce Jeffrey's rule of conditioning. We explain how it enables us to determine the current probability of an event using a collection of conditional probabilities of the event determined from past experiences and the current probabilities of the conditioning events. We note the importance of the joint probabilities of the event of interest and the conditioning events in obtaining the required conditional probabilities. We investigate the use of copula's to help obtain these required joint probabilities. We then apply our results to a problem of financial decision making in which the success of the stock issue of a new company depends on the quality of management of company. Here, past history tells information about the success of a typical company based on its quality of management and our own observations provides information about the quality of the current companies management. |
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We introduce Jeffrey's rule of conditioning. We explain how it enables us to determine the current probability of an event using a collection of conditional probabilities of the event determined from past experiences and the current probabilities of the conditioning events. We note the importance of the joint probabilities of the event of interest and the conditioning events in obtaining the required conditional probabilities. We investigate the use of copula's to help obtain these required joint probabilities. We then apply our results to a problem of financial decision making in which the success of the stock issue of a new company depends on the quality of management of company. Here, past history tells information about the success of a typical company based on its quality of management and our own observations provides information about the quality of the current companies management. |
| abstract_unstemmed |
We introduce Jeffrey's rule of conditioning. We explain how it enables us to determine the current probability of an event using a collection of conditional probabilities of the event determined from past experiences and the current probabilities of the conditioning events. We note the importance of the joint probabilities of the event of interest and the conditioning events in obtaining the required conditional probabilities. We investigate the use of copula's to help obtain these required joint probabilities. We then apply our results to a problem of financial decision making in which the success of the stock issue of a new company depends on the quality of management of company. Here, past history tells information about the success of a typical company based on its quality of management and our own observations provides information about the quality of the current companies management. |
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On a Role for Copula's in Jeffrey's Rule with An Application to Decision Making |
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