Difference between revisions of "Dictionary:Conditional probability/es"

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{{#category_index:C|conditional probability}}
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La probabilidad de "E" si "C<sub>''i''</sub>" ya ha ocurrido está dada por <math>P(E|C_i) </math>. <b>
The probability of ''E'' if ''C''<sub>''i''</sub> has already occurred is given by <math>P(E|C_i) </math>. <b>
 
  
Bayes's theorem</b> gives the a posteria probability:  
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El teorema de Bayes</b> da la probabilidad a posteriori:  
  
 
<center><math>P(C_i|E)=\frac{P(C_i)P(E|C_i)}{\sum P(C_j) P(E|C_j)}</math>,</center>
 
<center><math>P(C_i|E)=\frac{P(C_i)P(E|C_i)}{\sum P(C_j) P(E|C_j)}</math>,</center>
  
where ''P''(''C''<sub>''i''</sub>)=a priori probability of ''C''<sub>''i''</sub>
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donde ''P''(''C''<sub>''i''</sub>)=probabilidad a priori de ''C''<sub>''i''</sub>

Latest revision as of 12:49, 8 September 2019

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La probabilidad de "E" si "Ci" ya ha ocurrido está dada por .

El teorema de Bayes da la probabilidad a posteriori:

,

donde P(Ci)=probabilidad a priori de Ci