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UAI
2004
15 years 8 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
CORR
2010
Springer
172views Education» more  CORR 2010»
15 years 6 months ago
Alternating-Offer Bargaining Games over the Gaussian Interference Channel
This paper tackles the problem of how two selfish users jointly determine the operating point in the achievable rate region of a two-user Gaussian interference channel through barg...
Xi Liu, Elza Erkip
ICDCS
2009
IEEE
15 years 4 months ago
Multicast Throughput of Hybrid Wireless Networks Under Gaussian Channel Model
We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unica...
Cheng Wang, ShaoJie Tang, Xiang-Yang Li, Changjun ...
JMLR
2010
194views more  JMLR 2010»
15 years 1 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
TSP
2012
14 years 2 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero