We study the set of integer partitions as a probability space that generates distributions and, in the asymptotic limit, obeys thermodynamics. We view ordered integer partition as a configuration of cluster masses and associate them with the distribution of masses it contains. We organized the set of ordered partitions into a table that forms a microcanonical ensemble and whose columns form a set of canonical ensembles. We define a functional of the distribution (selection functional) that establishes a probability measure on the distributions of the ensemble, study the combinatorial properties of this space, define its partition functions, and show that, in the asymptotic limit, this space obeys thermodynamics. We construct a stochastic pr...
<p>The equilibrium (or steady-state) population of all clusters (<i>N</i> = 25). Shown is the compar...
The thermodynamic formalism allows one to access the chaotic properties of equilibrium and out-of-eq...
Random probability measures are a cornerstone of Bayesian nonparametrics. By virtue of de Finetti's ...
We study the set of integer partitions as a probability space that generates distributions and, in t...
We present a thermodynamic theory for a generic population of M individuals distributed into N group...
38 pages, 2 figures, version considerably modified. To appear in the Journal of Statistical Physics....
Many popular random partition models, such as the Chinese restaurant process and its two-parameter e...
Abstract. We consider a family of distributions on spatial random partitions that provide a coupling...
A statistical thermodynamic model for the interpretation of the equilibria in solution is based on t...
In statistical mechanics, microcanonical factorial counting applied to systems in an ensemble is app...
Kingman’s theory of partition structures relates, via a natural sampling procedure, finite partition...
This paper discusses distributions of the composition of a large number of agents by their types, th...
Problem 1.5.7 from Pitman's Saint-Flour lecture notes: Does there exist for each n a fragmentation p...
We prove a long-standing conjecture which characterises the Ewens-Pitman twoparameter family of exch...
The relative or excess grand canonical partition function, ZM, represents the probability relative t...
<p>The equilibrium (or steady-state) population of all clusters (<i>N</i> = 25). Shown is the compar...
The thermodynamic formalism allows one to access the chaotic properties of equilibrium and out-of-eq...
Random probability measures are a cornerstone of Bayesian nonparametrics. By virtue of de Finetti's ...
We study the set of integer partitions as a probability space that generates distributions and, in t...
We present a thermodynamic theory for a generic population of M individuals distributed into N group...
38 pages, 2 figures, version considerably modified. To appear in the Journal of Statistical Physics....
Many popular random partition models, such as the Chinese restaurant process and its two-parameter e...
Abstract. We consider a family of distributions on spatial random partitions that provide a coupling...
A statistical thermodynamic model for the interpretation of the equilibria in solution is based on t...
In statistical mechanics, microcanonical factorial counting applied to systems in an ensemble is app...
Kingman’s theory of partition structures relates, via a natural sampling procedure, finite partition...
This paper discusses distributions of the composition of a large number of agents by their types, th...
Problem 1.5.7 from Pitman's Saint-Flour lecture notes: Does there exist for each n a fragmentation p...
We prove a long-standing conjecture which characterises the Ewens-Pitman twoparameter family of exch...
The relative or excess grand canonical partition function, ZM, represents the probability relative t...
<p>The equilibrium (or steady-state) population of all clusters (<i>N</i> = 25). Shown is the compar...
The thermodynamic formalism allows one to access the chaotic properties of equilibrium and out-of-eq...
Random probability measures are a cornerstone of Bayesian nonparametrics. By virtue of de Finetti's ...