Improved estimates for the number of non-negative integer matrices with given row and column sums

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Jerdee, Maximilian, Kirkley, Alec, Newman, M. E. J.
Formato: Preprint
Publicado: 2022
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866916104083865600
author Jerdee, Maximilian
Kirkley, Alec
Newman, M. E. J.
author_facet Jerdee, Maximilian
Kirkley, Alec
Newman, M. E. J.
contents The number of non-negative integer matrices with given row and column sums appears in a variety of problems in mathematics and statistics but no closed-form expression for it is known, so we rely on approximations of various kinds. Here we describe a new such approximation, motivated by consideration of the statistics of matrices with non-integer numbers of columns. This estimate can be evaluated in time linear in the size of the matrix and returns results of accuracy as good as or better than existing linear-time approximations across a wide range of settings. We also use this new estimate as the starting point for an improved numerical method for either counting or sampling matrices using sequential importance sampling. Code implementing our methods is provided.
format Preprint
id arxiv_https___arxiv_org_abs_2209_14869
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Improved estimates for the number of non-negative integer matrices with given row and column sums
Jerdee, Maximilian
Kirkley, Alec
Newman, M. E. J.
Computation
The number of non-negative integer matrices with given row and column sums appears in a variety of problems in mathematics and statistics but no closed-form expression for it is known, so we rely on approximations of various kinds. Here we describe a new such approximation, motivated by consideration of the statistics of matrices with non-integer numbers of columns. This estimate can be evaluated in time linear in the size of the matrix and returns results of accuracy as good as or better than existing linear-time approximations across a wide range of settings. We also use this new estimate as the starting point for an improved numerical method for either counting or sampling matrices using sequential importance sampling. Code implementing our methods is provided.
title Improved estimates for the number of non-negative integer matrices with given row and column sums
topic Computation
url https://arxiv.org/abs/2209.14869