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

Latest revision as of 12:49, 8 September 2019

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La probabilidad de "E" si "C_i" ya ha ocurrido está dada por $P(E|C_{i})$ .

El teorema de Bayes da la probabilidad a posteriori:

P(C_{i}|E)={\frac {P(C_{i})P(E|C_{i})}{\sum P(C_{j})P(E|C_{j})}}

,

donde P(C_i)=probabilidad a priori de C_i

@@ Line 2: / Line 2: @@
 {{lowercase}}
-{{#category_index:C|conditional probability}}
+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:
+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>
-where ''P''(''C''<sub>''i''</sub>)=a priori probability of ''C''<sub>''i''</sub>
+donde ''P''(''C''<sub>''i''</sub>)=probabilidad a priori de ''C''<sub>''i''</sub>