For f(x)={ 1/2,0<=x<1 1/6 1<=x<2 , 1/8 2<=x<=3} Expected loss is Ex[L(n,x)]=(4-n)^2+4 our prior beliefs regarding...

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For f(x)={ 1/2,0<=x<1 1/6 1<=x<2 , 1/8 2<=x<=3} Expected loss is Ex[L(n,x)]=(4-n)^2+4 our prior beliefs regarding...

For f(x)={

1/2,0<=x<1

1/6 1<=x<2 ,

1/8 2<=x<=3}

Expected loss is Ex[L(n,x)]=(4-n)^2+4

our prior beliefs regarding x are given by distribution f(x)
calculate Bayes' Decision d bayes

math Statistics-And-Probability

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For f(x)={ 1/2,0<=x<1 1/6 1<=x<2 , 1/8 2<=x<=3} Expected loss is Ex[L(n,x)]=(4-n)^2+4 our prior beliefs regarding...

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For f(x)={ 1/2,0<=x<1 1/6 1<=x<2 , 1/8 2<=x<=3} Expected loss is Ex[L(n,x)]=(4-n)^2+4 our prior beliefs regarding...

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Add Answer to: For f(x)={ 1/2,0<=x<1 1/6 1<=x<2 , 1/8 2<=x<=3} Expected loss is Ex[L(n,x)]=(4-n)^2+4 our prior beliefs regarding...

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For f(x)={ 1/2,0<=x<1 1/6 1<=x<2 , 1/8 2<=x<=3} Expected loss is Ex[L(n,x)]=(4-n)^2+4 our prior beliefs regarding...