The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)

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  • Опубликовано: 23 дек 2024
  • Learn all about the EM algorithm, a way to find maximum likelihood estimates in problems with missing data.
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Комментарии •

  • @douglasespindola5185
    @douglasespindola5185 3 месяца назад +15

    I'm feeling a Statquest vibe here and this is very good! Keep the good work, bro! Subscribed!

  • @xaitpri7905
    @xaitpri7905 3 месяца назад +6

    Before this I was going through other RUclips videos. Everyone saying missing data. But in the first min you said it's missing col of a sheet and not row. This cleared my confusion. Thank you sir

    • @statswithbrian
      @statswithbrian  3 месяца назад +2

      I totally agree, I used to be confused by the same thing :)

  • @sabihasultana8002
    @sabihasultana8002 23 дня назад

    most simple yet in depth analysis found so far, very intuitive..thanks a lot, because of you all my doubts got cleared

  • @roshanjames4564
    @roshanjames4564 Месяц назад +1

    Thanks!

  • @PadaiLikhai-hu6op
    @PadaiLikhai-hu6op 2 месяца назад +2

    you gonna blow up soon! keep up the good work

  • @sachinmohanty4577
    @sachinmohanty4577 3 месяца назад

    nicely explained :)

  • @DragonTekReviews
    @DragonTekReviews 2 месяца назад

    Great vide, but I have a quick question, I did not exactly get where the missing data is? You already showed the 10 coin flips that we do not know which coin each came from. As you stated at the beginning, shouldn't we have an entire column missing? Shouldn't the data be induced somehow from somewhere? So if I have observations for the columns, say, A, B and C, and I'm missing observations for columns D and E (entire columns are empty). How would the initial data be induced or imputed in the first place so we are able to work with it? Am I missing something?

    • @statswithbrian
      @statswithbrian  2 месяца назад +2

      The missing column in the data is whether the flips are from coin A or B. The initial guesses for the missing column are random and we will often run the algorithm multiple times with different starting guesses so that we don’t get stuck in a local maximum.

    • @DragonTekReviews
      @DragonTekReviews 2 месяца назад

      @@statswithbrian Great thanks for the clarification and the great video!

  • @noone545
    @noone545 2 месяца назад

    Subscribed. Very very very good content. appreciate it

  • @jakeaustria5445
    @jakeaustria5445 3 месяца назад

    Thank You

  • @kirill2128
    @kirill2128 2 месяца назад

    As a biostats PhD student, you made this click for me in 30 minutes while three separate classes that covered the theory behind this algorithm weren't able to do that!

    • @statswithbrian
      @statswithbrian  2 месяца назад

      I always felt the same way until I tried making a video about it. :) So happy to hear it helped you and that somebody watched the whole thing!

  • @Arriyad1
    @Arriyad1 3 месяца назад

    This has nothing to do with the video, but I tried to buy a biased coin from Amazon - no result -, and searching for other means to get one (like Galton Boards, they would be great in class), I had to find out that biased coins probably do not exist. Help me out if you know more about that.

    • @statswithbrian
      @statswithbrian  3 месяца назад

      I honestly don’t know if it’s physically possible but I’m guessing not. Would love an update if you find one.

    • @andrashorvath2411
      @andrashorvath2411 3 месяца назад

      I believe you could make a biased coin by welding a straight wire with specific length to one side that is sticking straight outward from the middle. This way when flipping the coin, the wire stick will operate as a weight trying to balance the coin pointing downward, like a keel for a ship, so more times will the coin point with the wire downward. I've not tried this but I believe this could work.