EM algorithm and missing data part 2

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  • Опубликовано: 11 сен 2024

Комментарии • 10

  • @JohnJones1987
    @JohnJones1987 7 лет назад +5

    This guy is awesome. Sure his handwriting is comparable to cave paintings, but his logic flow, cadence, tone, stepping back and reviewing a concept in theory and as a user of the tool.... just spot on.
    Whomever you are, you're really good at this - please don't stop :)

    • @LinearAlgebra
      @LinearAlgebra  7 лет назад +5

      Thank you for the kind words! Made my day.

  • @apanapane
    @apanapane 7 лет назад +1

    This was an excellent and very helpful lecture. Thank you!

  • @emadkebriaei4045
    @emadkebriaei4045 7 лет назад +6

    Thank you. Please upload the first part.

  • @mattbroerman
    @mattbroerman 4 года назад

    Words for the ages 30:10 " There is no such thing as missing data. Just a misspecified model." I haven't seen this topic presented this way, I really liked it. Got pointers for reading up more on this presented this way?

  • @fortuneinc.4480
    @fortuneinc.4480 5 лет назад

    On point

  • @GopalSharma-sf1zz
    @GopalSharma-sf1zz 8 лет назад +1

    Which University is this?

    • @LinearAlgebra
      @LinearAlgebra  8 лет назад +3

      Penn State. This lecture is from Stat 504 (onlinecourses.science.psu.edu/stat504/), which is offered both in-residence and online as part of our Masters of Applied Statistics program (www.worldcampus.psu.edu/degrees-and-certificates/applied-statistics-masters/overview).

  • @aiavicii4243
    @aiavicii4243 3 года назад

    way too abstract n formulized, hard to understand

  • @dsvdsv8466
    @dsvdsv8466 3 года назад

    He needs to work on his lecture skills. Of course hes apdo so give him benefi of doubt.... but still.. if u cant do the job