Markov Chain Matlab Bayesian Dojo!

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  • Опубліковано 6 лют 2025
  • Hello! Here's the Markov Chain matlab Bayesian Ninja training in the bayesian Dojo for battles with the Frequentisian Ninjas. Visit my website for full code studentdavestut...
    this tutorial features MATLAB® programming language, go here of you wanna get it :)
    www.mathworks.c...

КОМЕНТАРІ • 15

  • @kamelismail9943
    @kamelismail9943 4 роки тому +1

    I rarely comment on UA-cam but man you did an amazing job ! Better than a lot of boring and lengthy reference books !

  • @TheScienceguy3000
    @TheScienceguy3000  12 років тому

    I think this will answer your other question as well. So the raw, initial, transition matrix doesn't ever change, so thus the connectivity never really changes. The reason after some number of iterations the zero values become non-zero values is because there indirect, multi-step ways to get every where (i.e. from C to F), I visualized the connectivities so that you could see the evolution, but they are not direct paths as you see.

  • @TheScienceguy3000
    @TheScienceguy3000  12 років тому

    For example, there is no direct path from P back to P, but there is a way, after a few iterations to get from starting at P to getting back to P. So, overall, think of the initial transition matrix as a mapping of direct projections from one state to another, but as you iterate, the connects can now be indirect, taking several steps to get from some state to another. So thus, this is never going to be a FKP in continuous order over 3 states (i.e. combo).

  • @TheScienceguy3000
    @TheScienceguy3000  12 років тому

    oh, and just going to state F can be considered the KO state.
    thx for the comments!

  • @pebre79
    @pebre79 12 років тому

    ill experiment with matlab so the concepts sink in. thanks for your reply and for all your effort!

  • @pebre79
    @pebre79 12 років тому

    Three questions: a knockout is when a F goes to F? as you evolve the model, I notice that the arrows that where zero values (meaning the P-K-F was one direction) now are non-zero - does that mean the 3 state combo can be F-K-P? also, what does probability C to C mean? keep those videos coming plz! im learning a lot.

  • @zasnis
    @zasnis 11 років тому

    do a video on Markov chain Monte Carlo (MCMC) methods!! thanks!!

  • @LonglongFeng
    @LonglongFeng 7 років тому

    Undefined function or variable 'draw_states'. @1:53

    • @claudiamolina238
      @claudiamolina238 6 років тому

      Actually, since that stumped me as well I read the description and it says it is linked in his website. It is indeed there go check it out :)

    • @zayracarranza4489
      @zayracarranza4489 5 років тому

      @@claudiamolina238 did you have it correct? Because i went to the webside but still have that 'undefined function or variable 'draw_states' ' and i dont understand why...

    • @aymanhussin2452
      @aymanhussin2452 5 років тому

      @@zayracarranza4489 try download all of this code and place it on the same folder. Run it
      Its all in this link : studentdavestutorials.weebly.com/markov-chains.html

    • @sulavghimire6473
      @sulavghimire6473 4 роки тому

      @@aymanhussin2452 this link doesn't work. Can you please send the code somewhere?

    • @haneenmohammed3359
      @haneenmohammed3359 3 роки тому

      Hello, can I contact you via phone or email. I need help

  • @paymankhayree8552
    @paymankhayree8552 9 років тому

    this was awesome

  • @rohayuyusoff6227
    @rohayuyusoff6227 10 років тому

    hi how i wana get chain code for many objects in an image?