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On the robustness of the adaptive lasso to model misspecification
W. Lu,
Y. Goldberg
, J. P. Fine
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peer-review
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Dive into the research topics of 'On the robustness of the adaptive lasso to model misspecification'. Together they form a unique fingerprint.
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Keyphrases
Parameter Estimation
100%
Oracle
100%
Model Misspecification
100%
Misspecified Model
100%
Adaptive Lasso
100%
Proportional Hazards Model
50%
Asymptotically Normal
50%
Epidemiological Study
50%
Least Absolute Shrinkage and Selection Operator (LASSO)
50%
Model Specification
50%
Correct Model
50%
Generalized Linear Model
50%
Wisconsin
50%
Regression Function
50%
Regression Coefficient
50%
Penalization
50%
Misspecification
50%
Diabetic Retinopathy
50%
Penalized Estimator
50%
Selection Consistency
50%
Censored Response
50%
Consistent Variable Selection
50%
Sparse Estimation
50%
Penalization Method
50%
True Model
50%
Lasso Penalty
50%
Mathematics
Model Misspecification
100%
Misspecified Model
100%
Proportional Hazards Model
50%
Model Specification
50%
Correct Model
50%
Generalized Linear Model
50%
Parameter Estimation
50%
Regression Function
50%
Regression Coefficient
50%
Misspecification
50%
Lasso Regression
50%
True Model
50%
Economics, Econometrics and Finance
Scientific Modelling
100%
Duration Analysis
33%