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Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/25
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/20
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
The chapter discusses generalized method of moments (GMM) estimation
methods for spatial models. Much of the discussion is on GMM estimation of
Cliff-Ord-type models where spatial interactions are m...
LASSO Methods for Gaussian Instrumental Variables Models
LASSO Methods Gaussian Instrumental Variables Models
2011/3/2
In this note, we propose the use of sparse methods (e.g. LASSO, Post-LASSO,p LASSO, and Post-
p LASSO) to form rst-stage predictions and estimate optimal instru-ments in linear instrumental variable...