Asymptotics of multivariate contingency tables with fixed marginals
Quan Zhou

TL;DR
This paper analyzes the asymptotic behavior of individual cells in multivariate contingency tables with fixed marginals, identifying conditions for Poisson or Gaussian limits as marginals grow large.
Contribution
It derives the asymptotic distribution of table cells, classifies types of Poisson convergence, and generalizes results to tables of arbitrary sizes.
Findings
Cell variance order is established.
Diagnostic for Poisson vs. Gaussian limit is provided.
Growth rates of marginals determine the limit type.
Abstract
We consider the asymptotic distribution of a cell in a 2 x ... x 2 contingency table as the fixed marginal totals tend to infinity. The asymptotic order of the cell variance is derived and a useful diagnostic is given for determining whether the cell has a Poisson limit or a Gaussian limit. There are three forms of Poisson convergence. The exact form is shown to be determined by the growth rates of the two smallest marginal totals. The results are generalized to contingency tables with arbitrary sizes and are further complemented with concrete examples.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
