On the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations

HIGHLIGHTS

• who: Jonathan E. W. Huffmann and Martin Mittelbach from the Technische Universitu00e4t Dresden, Dresden, Germany have published the research work: On the Distribution of the Information Density of Gaussian Random Vectors: Explicit Formulas and Tight Approximations, in the Journal: Entropy 2022, 24, 924. of 16/05/2022
• what: Throughout the rest of the paper, the authors exclude this degenerated case when the information density is considered and assume subsequently the setting and notation introduced above with r u2265 1.
• how: The great advantage of this approach is that only two evaluations of the . . .
  

   

  

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