SHEL is a penalized fixed-effects framework that adds synthetic cluster approximations to prevent marginal LASSO from using heterogeneous covariates as proxies for latent effects in high-dimensional mixed models.
J., Ritov, Y., and Tsybakov, A
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Synthetic Heterogeneous-Effects LASSO: A Fixed-effects Estimation Approach for High-dimensional Mixed-effects Models
SHEL is a penalized fixed-effects framework that adds synthetic cluster approximations to prevent marginal LASSO from using heterogeneous covariates as proxies for latent effects in high-dimensional mixed models.