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Copula function’s concentration set and its concentrated partition
Copula function local correlation structure concentration set concentration measure
2016/1/25
The research on the local correlation structure of copula function is an attractive topic.This paper investigates bivariate copula function’s local correlation structure by defining its concentration ...
A dependent partition-valued process for multitask clustering and time evolving network modelling
A dependent partition-valued process multitask clustering time evolving network modelling
2013/4/27
The fundamental aim of clustering algorithms is to partition data points. We consider tasks where the discovered partition is allowed to vary with some covariate such as space or time. One approach wo...
A consistent Markov partition process generated from the paintbox process
Markov partition process generated
2011/7/19
We study a family of Markov processes on $\mathcal{P}^{(k)}$, the space of partitions of the natural numbers with at most $k$ blocks. The process can be constructed from a Poisson point process on $\m...
Monte Carlo Algorithms for the Partition Function and Information Rates of Two-Dimensional Channels
Two-dimensional channels constrained channels partition function Gibbs sampling importance sampling factor graphs sum-product message passing capacity information rate
2011/6/21
The paper proposes Monte Carlo algorithms for
the computation of the information rate of two-dimensional
source / channel models. The focus of the paper is on binary-input
channels with constraints...
Efficient Utility-based Clustering over High Dimensional Partition Spaces
Efficient Utility-based Clustering High Dimensional Partition Spaces
2009/9/24
Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest sco...
Modal Clustering in a Class of Product Partition Models
Bayesian nonparametrics Dirichlet process mixture model maximum a posteriori clustering maximum likelihood clustering
2009/9/24
This paper defines a class of univariate product partition models for
which a novel deterministic search algorithm is guaranteed to find the maximum
aposteriori (MAP)clustering or the maximum likeli...
CENTRAL PARTITION FOR A PARTITIONDISTANCE AND STRONG PATTERN GRAPH
clustering graph algorithms node cover combinatorial problems strong pattern central partition
2009/2/26
When several clustering algorithms are applied to a dataset E or the same algorithm
with different parameters, we get several different partitions of the dataset. In this
paper we consider the probl...
Unsupervised bayesian convex deconvolution based on a field with an explicit partition function
Deconvolution Bayesian statistics regularization convex potentials partition function hyperparametersestimation
2010/3/17
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function.To the best of our knowledge, this is an original contribution. Moreover, the explicit expression...