In this paper a new transformation of occupancy distributions, called merging, is introduced. In particular, it will be studied the effect of merging on a class of occupancy distributions that was recently introduced in Collet et al. (Probab Eng Inf Sci. 27:533–552 2013). These results have an interesting interpretation in the so-called entropy maximization inference. The last part of the paper is devoted to highlight the impact of our findings in this research area.
Merging Exchangeable Occupancy Distributions: The Family M(a)and its Connection with the Maximum Entropy Principle / Collet, Francesca; Leisen, Fabrizio; Spizzichino, Fabio. - In: METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY. - ISSN 1387-5841. - STAMPA. - 18:4(2016), pp. 979-997. [10.1007/s11009-015-9454-7]
Merging Exchangeable Occupancy Distributions: The Family M(a)and its Connection with the Maximum Entropy Principle
SPIZZICHINO, Fabio
2016
Abstract
In this paper a new transformation of occupancy distributions, called merging, is introduced. In particular, it will be studied the effect of merging on a class of occupancy distributions that was recently introduced in Collet et al. (Probab Eng Inf Sci. 27:533–552 2013). These results have an interesting interpretation in the so-called entropy maximization inference. The last part of the paper is devoted to highlight the impact of our findings in this research area.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.