🧠📚 Mitch's Mind Tangle

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      • associated vector bundle
      • cone over space
      • constant rank theorem
      • equivariant rank theorem
      • fixed point set
      • frontier condition
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      • orbit stabilizer theorem
      • orbit type stratification
      • Poisson transversal
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      • principal stratum of symplectic manifold
      • proper group action
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      • relatively open set
      • Sard's theorem
      • shifting trick for symplectic reduction
      • stratified symplectic space
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      • Weyl chamber
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      • quaternion
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      • cotangent lift
      • de Rham cohomology
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      • Algebra: Chapter 0
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      • An introduction to Bayesian network theory and usage
      • An Introduction to the Bootstrap
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      • Bayesian networks: An introduction
      • Bayesian Specification Analysis in Econometrics
      • Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
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    MC and BN

    MC and BN

    Sep 05, 20251 min read

    MC and BN

    Markov chain and Hidden Markov Model (HMM) are both special cases of Bayesian network. They follow all the specifications and can technically be analyzed using the same principles.


    References

    @sucar2020 @koski2011

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    • MC and BN
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