Introduction to Monte Carlo Methods

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  • Опубликовано: 23 янв 2025

Комментарии • 40

  • @mrvzhao
    @mrvzhao 10 лет назад +5

    Hands down the BEST fast intro to Monte Carlo methods... THANK YOU!

  • @jamesdvc
    @jamesdvc 9 лет назад +1

    The best introduction to MC methods I can find so far! Thank you so much!

  • @kchoi10
    @kchoi10 10 лет назад +4

    Super, super helpful. This is a great introduction to Monte Carlo methods. Thanks for all your time and effort!

  • @riaifo6176
    @riaifo6176 8 лет назад +1

    Great work, I thought. You did what you set out to do: a non-technical explanation of MC and its uses and concerns. Much appreciated (a breath of fresh air, really, considering other materials out there that attempt to do this but miss mark). Thanks for putting this together.

  • @anon-kl8tm
    @anon-kl8tm 6 лет назад +1

    Intuitive,realistic and a natural touch- a great explanation of the concept!!

  • @erichschaitza
    @erichschaitza 8 лет назад +2

    Fantastic presentation. Simple and clear.

  • @ulissesvalentimferreira682
    @ulissesvalentimferreira682 9 лет назад +1

    That's a clear explanation of the Monte Carlo simulation.

  • @ريم-ج3ذ9خ
    @ريم-ج3ذ9خ 9 лет назад +3

    thank you alon . this video get me understanding to MC simulation .. im so gratefull for you

  • @hadigalavi1950
    @hadigalavi1950 10 лет назад +1

    Simple, understandable, and comprehensive for beginners ...
    Thank you Alon.

  • @philkeh
    @philkeh 5 лет назад

    Very good video. Thanks Alon!!!

  • @amrizalarif8239
    @amrizalarif8239 10 лет назад

    Hello, im sorry i cant get the difference in your 22:15 video presentation, what is the differences between what if scenario and finding reasonable scenario?

    • @honeyoak87
      @honeyoak87  10 лет назад +1

      The "what if" scenario is one that did not occur but could have occurred. A "non reasonable" scenario is one that could never occur in the first place.

  • @ritikas3006
    @ritikas3006 20 дней назад

    Thank you. We should know how to manage the model and also how to validate it.

  • @linweihu1878
    @linweihu1878 9 лет назад

    Very clear and understandable explanation. Thank you very much.

  • @quinegbe735
    @quinegbe735 5 лет назад

    Wow. You deserver 10 billion subscribers God bless you dude love

  • @stephenpuryear
    @stephenpuryear 5 лет назад

    Alon, I found this really helpful, so thank you very much. I want to use MC to explore why it is said that calibration standards should be four times "as accurate" as what they are testing. I want to test all the way from 10:1 to 1:1 and see the results. In the traditional world, there is not nearly enough data to accomplish this task. I will post on LinkedIn, so lets become colleagues!

  • @kimuagirl
    @kimuagirl 5 лет назад

    Very clear explanation, thank you!!

  • @MyJanku
    @MyJanku 11 лет назад

    sir i would like a clarification on the word spelt when the video reads 12:04. the pronunciation seemed little inaudible in my headset. please help

    • @MyJanku
      @MyJanku 11 лет назад

      it comes after that the factor A ....

    • @honeyoak87
      @honeyoak87  11 лет назад

      "the fact that A occurred will influence..."

    • @MyJanku
      @MyJanku 11 лет назад

      sure sir thank u :)

  • @one4mrDj
    @one4mrDj 9 лет назад +1

    Great explanation!
    Thanks!

  • @NEWYORKVISIT
    @NEWYORKVISIT 11 лет назад

    Very nice Video. Helped me a lot. Thx

  • @cyrusIIIII
    @cyrusIIIII 8 лет назад

    Thank you for the video. If we know the answer or we have the desired measure, then what is the point of doing Monte Carlo? Also is there any software that we can do this type of simulation without writing codes?

    • @honeyoak87
      @honeyoak87  7 лет назад

      hey Jon, I understand that learning to code can be hard but it is the best way to run monte carlo simulations. You can try with MS Excel to sharpen your skills before using R or python.

  • @ChristopherOkhravi
    @ChristopherOkhravi 7 лет назад +1

    Thank you very much for this! :)

  • @hassant14
    @hassant14 8 лет назад

    Thank you very much ,
    I am studying a scientist Master , Working on waves ,
    it was so interesting to understand Monte Carlo throw your video , I would like to ask you if you Have any Examples that would show us How we can read the results from the simulation , aheading to make a good report , and reasonable facts from it ..
    thanks again

    • @honeyoak87
      @honeyoak87  8 лет назад

      Hey Hassan. Simulation results can be analyzed with Descriptive Statistics. The Khan Academy has a great intro to this topic: www.khanacademy.org/math/probability/descriptive-statistics

  • @ableida4114
    @ableida4114 9 лет назад

    Thanks Alon for your video. Can you please tell me what's the drawing tool that you're using?

  • @libertybartolome1777
    @libertybartolome1777 7 лет назад

    Nice explanation. is there any example or process regarding finance matters ?

    • @honeyoak87
      @honeyoak87  6 лет назад

      hey Liby you might find this helpful, it is from Wharton ;) www.coursera.org/learn/wharton-introduction-spreadsheets-models/lecture/0OsMZ/4-1-monte-carlo-simulations

  • @bagarwal
    @bagarwal 10 лет назад +3

    great intro

  • @ahmedalhamadani9169
    @ahmedalhamadani9169 9 лет назад

    great video

  • @tshepo1306
    @tshepo1306 7 лет назад +1

    thank you

  • @joezheng1225
    @joezheng1225 10 лет назад

    Very helpful. Thank you so much~~

  • @KristoferJarl
    @KristoferJarl 11 лет назад +10

    Nice explanation. But why do you brush your teeth before breakfast?! :)

    • @oprah7
      @oprah7 7 лет назад

      bacteria multiplies fastest when you're sleeping. That's why there is morning breath. You don't want to swallow that. Everyone has a different take on it though.

    • @noway4517
      @noway4517 7 лет назад +1

      Why wouldn't I swallow bacteria, the stomach has acid to kill it off