24 research outputs found
THE MAXIMAL LENGTH OF A CHAIN IN THE BRUHAT ORDER FOR A CLASS OF BINARY MATRICES
Abstract: We answer to a question by Brualdi and Deaett about the maximal length of a chain in the Bruhat order for an interesting combinatorial class of binary matrices
Exact Enumeration and Sampling of Matrices with Specified Margins
We describe a dynamic programming algorithm for exact counting and exact
uniform sampling of matrices with specified row and column sums. The algorithm
runs in polynomial time when the column sums are bounded. Binary or
non-negative integer matrices are handled. The method is distinguished by
applicability to non-regular margins, tractability on large matrices, and the
capacity for exact sampling
Exact sampling and counting for fixed-margin matrices
The uniform distribution on matrices with specified row and column sums is
often a natural choice of null model when testing for structure in two-way
tables (binary or nonnegative integer). Due to the difficulty of sampling from
this distribution, many approximate methods have been developed. We will show
that by exploiting certain symmetries, exact sampling and counting is in fact
possible in many nontrivial real-world cases. We illustrate with real datasets
including ecological co-occurrence matrices and contingency tables.Comment: Published in at http://dx.doi.org/10.1214/13-AOS1131 the Annals of
Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical
Statistics (http://www.imstat.org). arXiv admin note: text overlap with
arXiv:1104.032
Exchangeable pairs, switchings, and random regular graphs
We consider the distribution of cycle counts in a random regular graph, which
is closely linked to the graph's spectral properties. We broaden the asymptotic
regime in which the cycle counts are known to be approximately Poisson, and we
give an explicit bound in total variation distance for the approximation. Using
this result, we calculate limiting distributions of linear eigenvalue
functionals for random regular graphs.
Previous results on the distribution of cycle counts by McKay, Wormald, and
Wysocka (2004) used the method of switchings, a combinatorial technique for
asymptotic enumeration. Our proof uses Stein's method of exchangeable pairs and
demonstrates an interesting connection between the two techniques.Comment: Very minor changes; 23 page