Conditional and pattern-oriented robustness

Robustness and Conditional Independence Ideals

We study notions of robustness of Markov kernels and probability distribution of a system that is described by n input random variables and one output random variable. Markov kernels can be expanded in a series of potentials that allow to describe the system’s behaviour after knockouts. Robustness imposes structural constraints on these potentials. Robustness of probability distributions is def...

Consistency, efficiency and robustness of conditional disparity methods

This report demonstrates the consistency and asymptotic normality of minimum-disparity estimators based on conditional density estimates. In particular, it provides L1 consistency results for conditional density estimators and conditional density estimators under homoscedastic model restrictions. It defines a generic formulation of disparity estimates in conditionally-specified models and demon...

Robustness Validation in Service-Oriented Architectures

The use of Service Oriented Architecture (SOA) in enterprise applications development is increasing very quickly. In a SOA environment providers supply a set of services that must be robust. Although SOA is being used in business-critical environments, there is no practical means to measure or compare the robustness of services. Robustness failures in such environments are dangerous, as they ca...

Pattern { Based Object { Oriented

Pattern-Oriented Hierarchical Clustering*

Clustering is a data mining method, which consists in discovering interesting data distributions in very large databases. The applications of clustering cover customer segmentation, catalog design, store layout, stock market segmentation, etc. In this paper, we consider the problem of discovering similarity-based clusters in a large database of event sequences. We introduce a hierarchical algor...