We develop a novel approach to identify regions of the genome underlying population genetic differentiation in any genetic data where the underlying population structure is unknown, or where the ...
SIAM Journal on Applied Mathematics, Vol. 78, No. 2 (2018), pp. 853-876 (24 pages) Eigenvector-based centrality measures are among the most popular centrality measures in network science. The ...
Scandinavian Journal of Statistics, Vol. 4, No. 3 (1977), pp. 97-104 (8 pages) This paper deals with the estimation of the left probability eigenvector and related characteristics of an ergodic matrix ...