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

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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.

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Correspondence to Fabrizio Leisen.

Additional information

Research of FC was supported by the FIRB research grant RBFR10N90W. Research of FL was supported by the European Community’s Seventh Framework Programme FP7/2007-2013 under grant agreement number 630677. Research of FS was supported by “La Sapienza” Ateneo Project 2013 Modelli probabilistici, analisi del rischio e confronti stocastici.

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Collet, F., Leisen, F. & Spizzichino, F. Merging Exchangeable Occupancy Distributions: The Family \(\mathcal {M}^{(a)}\) and its Connection with the Maximum Entropy Principle. Methodol Comput Appl Probab 18, 979–997 (2016). https://doi.org/10.1007/s11009-015-9454-7

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  • DOI: https://doi.org/10.1007/s11009-015-9454-7

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