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High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression
High-dimensional model selection
2010/10/14
We consider the problem of estimating the graph associated with a binary Ising Markov random field. We describe a method based on $\ell_1$-regularized logistic regression, in which the neighborhood of...
LIMIT THEOREMS FOR STOCHASTIC DYNAMICAL SYSTEM ARISING IN ISING MODEL ANALYSIS
Markov chain random transformation weak convergence Ising model wetting
2009/9/18
A simple stochastic dynamical system defined on the space
of doubly-infinite sequences of real numbers is considered. Limit theorems
for this system are proved. The results are applied to the physic...