The University of Southampton
University of Southampton Institutional Repository

Fundamental principles in drawing inference from sequence analysis

King, Tom (2010) Fundamental principles in drawing inference from sequence analysis , Southampton, GB Southampton Statistical Sciences Research Institute, University of Southampton 39pp. (S3RI Applications & Policy Working Papers, A10/02).

Record type: Monograph (Working Paper)

Abstract

Individual life courses are dynamic and can be represented as a sequence of states for some portion of their experiences. More generally, study of such sequences has been made in many fields around social science; for example, sociology, linguistics, psychology, and the conceptualisation of subjects progressing through a sequence of states is common. However, many models and sets of data allow only for the treatment of aggregates or transitions, rather than interpreting whole sequences. The temporal aspect of the analysis is fundamental to any inference about the evolution of the subjects but assumptions about time are not normally made explicit. Moreover, without a clear idea of what sequences look like, it is impossible to determine when something is not seen whether it was not actually there. Some principles are proposed which link the ideas of sequences, hypothesis, analytical framework, categorisation and representation; each one being underpinned by the consideration of time. To make inferences about sequences, one needs to: understand what these sequences represent; the hypothesis and assumptions that can be derived about sequences; identify the categories within the sequences; and data representation at each stage. These ideas are obvious in themselves but they are interlinked, imposing restrictions on each other and on the inferences which can be drawn

PDF s3ri-Workingpaper-A10-02.pdf - Other
Download (447kB)

More information

Published date: 15 March 2010
Keywords: sequence analysis, dissimilarity algorithms, stochastic models, event histories, inference, visualisation, clustering

Identifiers

Local EPrints ID: 79404
URI: http://eprints.soton.ac.uk/id/eprint/79404
PURE UUID: 016788c1-6af3-46df-a148-0d80dc983f88

Catalogue record

Date deposited: 15 Mar 2010
Last modified: 18 Jul 2017 23:18

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×