Skip to main content
Log in

Using intersection matrices to identify graphical structure

  • Published:
Statistics and Computing Aims and scope Submit manuscript

Abstract

Intersection matrices help identify the common graphical structure of two or more objects. They arise naturally in a variety of settings. Several examples of their use in a computer algebra environment are given. These include: simplifying an expression involving array products, automating cumulant calculations, determining the behaviour of an expected value operator and identifying model hierarchy in a factorial experiment. The emphasis is placed on the graphical structure, and the symmetry of arrays help reduce the complexity of the graphical problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Andrews D.F. 1998. Asymptotic expansions of moments and cumulants. U. Tor. Tech. Rep.

  • Andrews D.F. and Stafford J.E. 2000. Symbolic computation for statistical inference, Oxford University Press: Oxford.

    Google Scholar 

  • Andrews D.F. and Stafford J.E. 1998. Iterated full partitions. J. Statist. & Comp, 8: 189-192.

    Google Scholar 

  • Bellhouse D.R., Philips R., and Stafford J.E. 1997. Symbolic operators for multiple sums. J. Comp. Statist. & Data Anal. 24: 443-454.

    Google Scholar 

  • Garey and Johnson. (1990). Computers and intractability: A guide to the theory of NP-completeness.

  • Kendall W.S. 1994. Computer algebra and yoke geometry I: When is an expression a tensor? Warwick University Technical Report.

  • Lee J. 1997. Ricci:Amathematica package for doing tensor calculations in differential geometry. U. Wash. Tech. Rep.

  • McCullagh P. 1987. Tensor Methods in Statistics. Chapman & Hall, New York.

    Google Scholar 

  • McCullagh P. 2000. Invariance and factorial models. J. Roy Statist. Soc. 62: 209.

    Google Scholar 

  • McCullagh P. and Wilks A. (1988). Complementary set partitions. Proc. Ro. Soc. London Ser. A.415: 347-362.

    Google Scholar 

  • McKay B. 1991. Nauty user's guide. Dep. of Computer Science, Australian National University Tech. Report TR-CS-90-02.

  • Smith B. and Field C. 1998. Symbolic cumulant calculations for frequency domain time series. Dal. Univ. Tech. Rep.

  • Stafford J.E. 1994. Automating the partition of indexes. J. Comp. Graph. Statist. 3: 249-260.

    Google Scholar 

  • Stafford J.E. 1998. A note on automating asymptotic expansions using Newton-Raphson. Univ. of Western Ontario Tech. Rep.

  • Wolfram S. 1996. The Mathematica Book,3rd ed. Cambridge Univ. Press.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Stafford, J.E. Using intersection matrices to identify graphical structure. Statistics and Computing 11, 47–55 (2001). https://doi.org/10.1023/A:1026557832181

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1026557832181

Navigation