Learning how a tree branches out: a statistical modeling approach

HIGHLIGHTS

• who: Pierre Dutilleul et al. from the of Plant Science, McGill University, Montru00e9al, Quu00e9bec, Canada have published the paper: Learning how a tree branches out: A statistical modeling approach, in the Journal: PLOS ONE of 29/07/2021
• what: The authors characterize tree branching patterns with statistical models. The authors propose a beta regression model, for x. The models proposed in this section decompose the joint density for the eleven underlying random variables in terms of the marginal density for x2 times the conditional density of v2 given x2 times the conditional density of u21132 . . .
  

   

  

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