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Merging Exchangeable Occupancy Distributions: The Family ๐“œ ( a ) $\mathcal {M}^{(a)}$ and its Connection with the Maximum Entropy Principle

Author

Listed:
  • Francesca Collet

    (Alma Mater Studiorum Universitร  di Bologna)

  • Fabrizio Leisen

    (University of Kent)

  • Fabio Spizzichino

    (Sapienza Universitร  di Roma)

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. 27:533โ€“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.

Suggested Citation

  • Francesca Collet & Fabrizio Leisen & Fabio Spizzichino, 2016. "Merging Exchangeable Occupancy Distributions: The Family ๐“œ ( a ) $\mathcal {M}^{(a)}$ and its Connection with the Maximum Entropy Principle," Methodology and Computing in Applied Probability, Springer, vol. 18(4), pages 979-997, December.
    • Handle: RePEc:spr:metcap:v:18:y:2016:i:4:d:10.1007_s11009-015-9454-7
    DOI: 10.1007/s11009-015-9454-7
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