Conditional expectations, continuous random variables

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  • Опубликовано: 11 янв 2025

Комментарии • 5

  • @이정원-z4e3d
    @이정원-z4e3d 4 года назад +1

    Thank you so much for your lecture.. I was almost crazy since I kept failed to find right CEF. Now
    I can finally finish my assignment after watching your video. Thank you so much😭😭😭😭😭😭😭😭😭love from
    Korea💙💙

  • @advaitathreya5558
    @advaitathreya5558 3 года назад

    You are a lifesaver, Especially the part about conditional expectations and their dependence.
    Question: At 6:20, why is the integral over dy and not dx?

    • @BibosToys
      @BibosToys 3 года назад

      might be wrong but we set X = x, so X is constant and Y is "variable" - which makes sense since we are dealing with how Y depends on the value of X = x here. if u meant the top integral then that's just the definition of the expectation of Y for the continuous case

  • @khbye2411
    @khbye2411 4 года назад +1

    Last part about f_z(z)...I'm not sure about my step 0
    2 step procedure: 1)find CDF of Z. 2)differentiate to get PDF of Z
    -1) find f_X. Just integrate the joint (f(x,y) = x+y) with respect to y...or, by symmetry it's similar to the f_Y in the video. f_X = x +1/2
    0) finding the inverse
    From (3X+2)/(6X+3)

  • @khbye2411
    @khbye2411 4 года назад

    Thank you so much