A Large-Deviation Analysis for the Maximum Likelihood Learning of Tree Structures (2009)
Animashree An, Lang Tong, Alan S. Willsky
Abstract—The problem of maximum-likelihood learning of the Markov tree structure of an unknown distribution from samples is considered when the distribution is Markov on a tree. Large-deviation...
Detection Error Exponent for Spatially Dependent Samples in Random Networks (2009)
Animashree An, Joseph E. Yukich, Lang Tong, Alan Willsky
Abstract—The problem of binary hypothesis testing is considered when the measurements are drawn from a Markov random field (MRF) under each hypothesis. Spatial dependence of the measurements is...
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference (2009)
Animashree An, Meng Wang, Lang Tong, Ananthram Swami
Abstract—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal tradeoff...
1 Energy Scaling Laws for Distributed Inference in Random Fusion Networks (2009)
Animashree An, Student Member, Joseph E. Yukich, Lang Tong, Ananthram Swami
Abstract—The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors distributed i.i.d. according to a...
Energy Scaling Laws for Distributed Inference in Random Networks (2009)
Animashree An, Joseph E. Yukich, Lang Tong, Ananthram Swami
Abstract—The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency (2009)
Animashree An, Student Member, Lang Tong, Ananthram Swami
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the log-likelihood...
Prize-Collecting Data Fusion for Cost-Performance Tradeoff (2009)
Animashree An, Meng Wang, Lang Tong, Ananthram Swami
A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prize-collecting data fusion (PCDF) is proposed in terms of optimal tradeoff between the...