A note on the Lasso for Gaussian graphical model selection
Inspired by the success of the Lasso for regression analysis, it seems attractive to estimate the graph of a multivariate normal distribution by ℓ1-norm penalized likelihood maximization. We examine some properties of the estimator and show that care has to be taken with interpretation of results as...
主要作者: | |
---|---|
格式: | Journal article |
语言: | English |
出版: |
2008
|