Why is $p(C_k|x)=frac{p(x | C_k, theta_k) p(C_k)}{p(x)}$ a valid application of Bayes' theorem?












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Why is $p(C_k|x)=frac{p(x | C_k, color{red}{theta_k}) p(C_k)}{p(x)}$ a valid application of Bayes' theorem?










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    Why is $p(C_k|x)=frac{p(x | C_k, color{red}{theta_k}) p(C_k)}{p(x)}$ a valid application of Bayes' theorem?










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      Why is $p(C_k|x)=frac{p(x | C_k, color{red}{theta_k}) p(C_k)}{p(x)}$ a valid application of Bayes' theorem?










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      Why is $p(C_k|x)=frac{p(x | C_k, color{red}{theta_k}) p(C_k)}{p(x)}$ a valid application of Bayes' theorem?







      bayes-theorem






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      asked Dec 9 '18 at 18:25









      mavaviljmavavilj

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