Document Type

Presentation

Publication Date

6-25-2006

Subjects

System design, System analysis, Log-linear models, Data structures (Computer science)

Abstract

This talk will present the basic ideas of Reconstructability Analysis. RA is a general modeling methodology developed in the systems community since the early 60s (pioneered by Ross Ashby) for exploratory (data mining, machine learning) and confirmatory modeling. RA is based in graph theory, set theory, information theory, and statistics. It is applicable to qualitative (nominal) and, via binning, to quantitative (continuous) data, with both statistical & non-statistical applications. It overlaps and augments more widely known methods, e.g., log-linear modeling and Bayesian networks.

Keywords: Reconstructability Analysis, Log-Linear Modeling, categorical data, multivariate statistics, exploratory modeling, confirmatory modeling

Rights

© The Author

Description

Presentation at the International Conference on Complex Systems, Boston, 2006, organized by the New England Complex Systems Institute

Persistent Identifier

https://archives.pdx.edu/ds/psu/42796

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