— We consider the decentralized binary hypothesis testing problem on trees of bounded degree and increasing depth. For a regular tree of depth t and branching factor k ≥ 2, we ...
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
In a multiple-access communication network, nodes must compete for scarce communication resources such as bandwidth. This paper analyzes the asymptotic behavior of a multipleaccess...
Hazer Inaltekin, Mung Chiang, Harold Vincent Poor,...
This note develops asymptotic formulae for single-commodity network flow problems with random inputs. The transportation linear programming problem (TLP) where N points lie in a r...