Statistics – Machine Learning
Scientific paper
2009-07-14
Statistics
Machine Learning
Scientific paper
We study a nonparametric method that estimates the structure of a discrete undirected graphical model from data. We assume that the distribution generating the data smoothly evolves over time and that the given sample is not identically distributed. Under the assumption that the underlying graphical model is sparse, the method recovers the structure consistently in the high dimensional, low sample size setting.
Kolar Mladen
Xing Eric P.
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