A hierarchical Bayesian framework is introduced for developing rich mixt...
We consider the problem of obtaining effective representations for the
s...
A new finite form of de Finetti's representation theorem is established ...
Estimating the entropy rate of discrete time series is a challenging pro...
The Bayesian Context Trees (BCT) framework is a recently introduced, gen...
We recall some of the history of the information-theoretic approach to
d...
A new Bayesian modelling framework is introduced for piece-wise homogene...
We revisit the Bayesian Context Trees (BCT) modelling framework for disc...
The paper concerns convergence and asymptotic statistics for stochastic
...
A general Bayesian framework is introduced for mixture modelling and
inf...
A strengthened version of the central limit theorem for discrete random
...
Labelled networks form a very common and important class of data, natura...
A finite form of de Finetti's representation theorem is established usin...
For various purposes and, in particular, in the context of data compress...
We develop a new Bayesian modelling framework for the class of higher-or...
The problem of determining the best achievable performance of arbitrary
...
We study the problem of independence testing given independent and
ident...
In this paper we introduce a new class of state space models based on
sh...
The problem of lossless data compression with side information available...
Value functions derived from Markov decision processes arise as a centra...
Two simple Markov processes are examined, one in discrete and one in
con...
The results of a series of theoretical studies are reported, examining t...
A mobile wireless delay-tolerant network (DTN) model is proposed and
ana...