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Información muestral imperfecta y Teorema de Bayes

Dentro de la Teoría de decisión este video muestra cómo usar un árbol de decisión para modelar y resolver un problema decisional con información muestral imperfecta. En el ejemplo propuesto se observa cómo es preciso aplicar el Teorema de Bayes para calcular las probabilidades revisadas y el valor de dicha información o VIMI.

Keywords:: Árbol decisión, VIMI, Información muestra imperfecta, Teorema de Bayes

Disciplines:

Business / Management

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Material Type:: Animation
Date Added to MERLOT:: September 6, 2019
Date Modified in MERLOT:: September 6, 2019
Author:: Cristóbal Javier Miralles Insa, Universitat Politècnica de València
Submitter:: RIUNET Universitat Politècnica de València
Primary Audience:: High School, College General Ed, College Lower Division, College Upper Division, Graduate School
Technical Format:: Video, Website

Mobile Compatibility:: Blackberry, iOS (Apple), Windows Mobile, Android
Language:: Spanish
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International

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Business / Management