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Jan 13, 2019 at 13:47 vote accept CommunityBot
May 25, 2018 at 9:10 comment added Kavi Rama Murthy Put $t=0$ in the equation you have derived to get $g(0)=\frac 1 3$. For $t>0$ differentiate the equation to get $g(t)=t^{2}$. Hence $g(X)=\frac 1 3$ if $X=0$ and $X^{2}$ if $X>0$. These two facts can be expressed in one equation as $g(X)=\frac I 3 I_{X=0}+X^{2}$.
May 25, 2018 at 7:50 comment added user562844 I come to the following solution: $\frac{1}{3}t^{3} + \frac{1}{3} = g(0) + \int_{0}^{t}g(max[0,x])dx$. It Looks similar to your answer, but when I differentiate with respect to t, then I get $g(\max[0,t]) = t^{2}$. So $\frac{1}{3}$ is missing
May 24, 2018 at 14:59 comment added user562844 okay...then I get $\int_{-1}^{t}x^{2}dx = \int_{-1}^{t}f(\max[0,x])dx$. But now I have no plan how to proceed
May 24, 2018 at 9:59 comment added Kavi Rama Murthy @gregor the definition says $\int_A x^{2} \, dx = \int_A f(X) \, dx$ for all sets $A$ of the type $\{X \leq t\}$ i.e. of the type $\{\max \{0,x\} \leq t \}$, $t \geq 0$. Use this equation to find $f$. On the right side you will get integral over $(-1,t)$, not $(-\sqrt t , \sqrt t)$.
May 24, 2018 at 9:27 comment added user562844 is my approach correct?
May 24, 2018 at 5:34 comment added Kavi Rama Murthy @gregor The answer is $E(Y|X)=\frac 1 3 I_{X=0} +X^{2}$
May 23, 2018 at 20:38 comment added user562844 my Approach is the following: $\int_{1}^{t}x^{2}dx = \int_{-\sqrt{t}}^{\sqrt{t}}f(max[0,x])dx$. But now I have no idea how to proceed
May 23, 2018 at 20:25 comment added user562844 can you please also compute $\mathbb{E}(Y|X)$
May 18, 2018 at 15:43 comment added user562844 Thank you! I have difficulty with the theory of conditional expectation. Have you a good reference where I can learn from? Something with intuition behind it
May 18, 2018 at 9:11 history answered Kavi Rama Murthy CC BY-SA 4.0