Exchangeability -- the probabilistic symmetry meaning ``invariance under the action of the symmetric group,'' or less formally, ``irrelevance of labels or indices'' -- has been the subject of continuing interest to probabilists and statisticians since de Finetti's celebrated characterization of infinite exchangeable sequences of Bernoulli random variables as mixtures of IID sequences. The topic of this dissertation is exchangeability as it pertains to random partitions and trees. The main result is a de Finetti-type theorem characterizing a class of exchangeable trees called hierarchies <\italic> which arise in connection with fragmentation processes and hierarchical clustering problems. The other results are somewhat related in t...
We introduce regenerative tree growth processes as consistent families of random trees with n labell...
Many popular random partition models, such as the Chinese restaurant process and its two-parameter e...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
We introduce the notion of a restricted exchangeable partition of N.We obtain integral representatio...
According to the Bayesian theory, observations are usually considered to be part of an infinite sequ...
According to the Bayesian theory, observations are usually considered to be part of an infinite sequ...
We prove a long-standing conjecture which characterises the Ewens-Pitman twoparameter family of exch...
We introduce a simple tree growth process that gives rise to a new two-parameter family of discrete ...
A hierarchy on a set S, also called a total partition of S, is a collection H of sub-sets of S such ...
Exchangeability of observations corresponds to a condition shared by the vast majority of applicatio...
Motivated by the problem of designing inference-friendly Bayesian nonparametric models in probabilis...
In Bayesian theory, observations are usually assumed to be part of an infinite sequence of random el...
For a class of random partitions of an infinite set a de Finetti-type representation is derived, and...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
We introduce regenerative tree growth processes as consistent families of random trees with n labell...
We introduce regenerative tree growth processes as consistent families of random trees with n labell...
Many popular random partition models, such as the Chinese restaurant process and its two-parameter e...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
We introduce the notion of a restricted exchangeable partition of N.We obtain integral representatio...
According to the Bayesian theory, observations are usually considered to be part of an infinite sequ...
According to the Bayesian theory, observations are usually considered to be part of an infinite sequ...
We prove a long-standing conjecture which characterises the Ewens-Pitman twoparameter family of exch...
We introduce a simple tree growth process that gives rise to a new two-parameter family of discrete ...
A hierarchy on a set S, also called a total partition of S, is a collection H of sub-sets of S such ...
Exchangeability of observations corresponds to a condition shared by the vast majority of applicatio...
Motivated by the problem of designing inference-friendly Bayesian nonparametric models in probabilis...
In Bayesian theory, observations are usually assumed to be part of an infinite sequence of random el...
For a class of random partitions of an infinite set a de Finetti-type representation is derived, and...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
We introduce regenerative tree growth processes as consistent families of random trees with n labell...
We introduce regenerative tree growth processes as consistent families of random trees with n labell...
Many popular random partition models, such as the Chinese restaurant process and its two-parameter e...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...