Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning

Author(s):  
Andrés Cano ◽  
Manuel Gómez-Olmedo ◽  
Cora B. Pérez-Ariza ◽  
Antonio Salmerón
2008 ◽  
Vol 76 (3) ◽  
pp. 258-280 ◽  
Author(s):  
Markus Kuba ◽  
Alois Panholzer
Keyword(s):  

2011 ◽  
Vol 52 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Andrés Cano ◽  
Manuel Gémez-Olmedo ◽  
Serafén Moral

2013 ◽  
Vol 225 ◽  
pp. 573-589
Author(s):  
Irene Martínez ◽  
Serafín Moral ◽  
Carmelo Rodríguez ◽  
Antonio Salmerón

Author(s):  
Andrés Cano ◽  
Manuel Gómez-Olmedo ◽  
Serafín Moral ◽  
Cora B. Pérez-Ariza

2021 ◽  
Vol 13 (2) ◽  
pp. 413-426
Author(s):  
S. Naderi ◽  
R. Kazemi ◽  
M. H. Behzadi

Abstract The bucket recursive tree is a natural multivariate structure. In this paper, we apply a trivariate generating function approach for studying of the depth and distance quantities in this tree model with variable bucket capacities and give a closed formula for the probability distribution, the expectation and the variance. We show as j → ∞, lim-iting distributions are Gaussian. The results are obtained by presenting partial differential equations for moment generating functions and solving them.


10.37236/409 ◽  
2010 ◽  
Vol 17 (1) ◽  
Author(s):  
Markus Kuba ◽  
Stephan Wagner

By a theorem of Dobrow and Smythe, the depth of the $k$th node in very simple families of increasing trees (which includes, among others, binary increasing trees, recursive trees and plane ordered recursive trees) follows the same distribution as the number of edges of the form $j-(j+1)$ with $j < k$. In this short note, we present a simple bijective proof of this fact, which also shows that the result actually holds within a wider class of increasing trees. We also discuss some related results that follow from the bijection as well as a possible generalization. Finally, we use another similar bijection to determine the distribution of the depth of the lowest common ancestor of two nodes.


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