Shuhong Dai
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Maximal Entropy of the Boltzmann Distribution: A Quantum Perspective

Specifically, in the classical limit (when βEn << 1), the quantum energy levels become very close to each other, and the partition function can be approximated by an integral over continuous energy states rather than a sum over discrete states. In this limit, the quantum Boltzmann distribution approaches the classical result...

18 min read   ·   2024

Is the Transition from Univariate to Multivariate Gaussian Distribution Linear?

Now that we have the foundation in place, let’s shift gears and consider the generalization of the univariate Gaussian to higher dimensions. In the multivariate case, we are no longer dealing with a single random variable, but rather a vector of random variables...

11 min read   ·   2024

Problem Ⅲ: Group Theory

23 min read   ·   2024

Problem Ⅱ: Linear Transformations

22 min read   ·   2024


  • Maximal Entropy of the Boltzmann Distribution: A Quantum Perspective

    Specifically, in the classical limit (when βEn << 1), the quantum energy levels become very close to each other, and the partition function can be approximated by an integral over continuous energy states rather than a sum over discrete states. In this limit, the quantum Boltzmann distribution approaches the classical result...

    18 min read   ·   November 28, 2024

    2024   ·   Quantum   Physics   Statistics   ·   Bits and Pieces

  • A Sketch of Proofs for Some Properties of Multivariate Gaussian Distribution

    When we diagonalize the covariance matrix, we essentially rotate the space such that the axes align with the principal directions of variation...

    36 min read   ·   July 09, 2024

    2024   ·   Statistics   Stochastic Processes   ·   A Column on Gaussian Processes

    image
  • Is the Transition from Univariate to Multivariate Gaussian Distribution Linear?

    Now that we have the foundation in place, let’s shift gears and consider the generalization of the univariate Gaussian to higher dimensions. In the multivariate case, we are no longer dealing with a single random variable, but rather a vector of random variables...

    11 min read   ·   June 24, 2024

    2024   ·   Statistics   Stochastic Processes   ·   A Column on Gaussian Processes

  • A Supplementary Discussion on Correlation Coefficients

    Yet covariance itself is sensitive to the original units of measurement, limiting its direct interpretability across different data scales...

    18 min read   ·   June 22, 2024

    2024   ·   Statistics   Stochastic Processes   ·   A Column on Gaussian Processes

    image
  • An Introductory Look at Covariance and the Mean Vector

    If the mean vector gives us a sense of location, then the covariance matrix gives us a sense of shape...

    39 min read   ·   June 11, 2024

    2024   ·   Statistics   Stochastic Processes   ·   A Column on Gaussian Processes

    image
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