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conditional_probability [2016/12/27 14:28]
nikolaj
conditional_probability [2016/12/27 14:29]
nikolaj
Line 35: Line 35:
 Consider a pair of functions $S_L, S_R : (A\to {\mathbb R})\to A\to {\mathbb R}$, then Consider a pair of functions $S_L, S_R : (A\to {\mathbb R})\to A\to {\mathbb R}$, then
  
-$\dfrac{f}{S_Lf} = \dfrac{f}{S_Rf}\dfrac{S_Rf}{S_Lf} $+$\dfrac{f}{S_Lf} = \dfrac{f}{S_Rf}\dfrac{S_Rf}{S_Lf}  = \dfrac{f}{S_Rf}\dfrac{\frac{1}{S_LS_Rf}S_Rf}{\frac{1}{S_LS_Rf}S_Lf}$
  
-If the pair of functions commute,+If the pair of functions commute, ​we can write
  
-$\dfrac{f}{S_Lf} = \dfrac{f}{S_Rf}\dfrac{\frac{1}{S_LS_Rf}S_Rf}{\frac{1}{S_LS_Rf}S_Lf} = \dfrac{f}{S_Rf}\dfrac{\frac{1}{S_L(S_Rf)}S_Rf}{\frac{1}{S_R(S_Lf)}S_Lf}$+$\dfrac{f}{S_Lf} = \dfrac{f}{S_Rf}\dfrac{\frac{S_Rf}{S_L(S_Rf)}S_Rf}{\frac{S_Lf}{S_R(S_Lf)}}$
  
 ** Bayes rule: ** ** Bayes rule: **
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