Teorema de Bayes

Se trata de hallar una [b]probabilidad condicionada[/b] en la que se conoce el resultado final, [b]suceso a posteriori[/b], y se busca la [b]probabilidad de un suceso anterior[/b], [b]suceso a priori[/b]. En definitiva, se pretende hallar la probabilidad de un suceso anterior, sabiendo el resultado posterior.[br]A los sucesos anteriores se los denomina [b]hipótesis o sucesos a priori[/b] y se los designa mediante [b]H[sub]1[/sub], H[sub]2[/sub], ..., H[sub]n[/sub][/b]. El [b]Teorema de Bayes[/b] permite hallar la [b]probabilidad de que se dé una de las hipótesis, H[sub]i[/sub][/b], mediante la siguiente fórmula:[br][img]data:image/png;base64,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[/img][br]Y aplicando el [b]Teorema de la Probabilidad Total[/b] se tiene:[br][img]data:image/png;base64,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[/img]
A continuación, se añade un ejemplo semejante al anterior en el que se ve reflejado el uso del Teorema de Bayes variando n, siendo n el número total de puntos.
A continuación, añadimos la demostración Teorema de Bayes

Information: Teorema de Bayes