The geometry of generalized likelihood ratio test

HIGHLIGHTS

  • who: Yongqiang Cheng et al. from the College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China have published the paper: The Geometry of Generalized Likelihood Ratio Test, in the Journal: Entropy 2022, 24, 1785. of /2022/
  • what: In this paper, the generalized likelihood ratio test is addressed from a geometric viewpoint.
  • future: From the perspective of informa- 4 of 13 tion difference these results have profound geometric meanings and can be geometrically analyzed and viewed in the framework of information geometry theory from which additional insights into the analysis . . .

     

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