Rejoinder on: ``Hierarchical inference for genome-wide association studies: a view on methodology with software
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Publication:2184393
DOI10.1007/s00180-019-00948-1zbMath1505.62335OpenAlexW3000311695MaRDI QIDQ2184393
Claude Renaux, Markus Kalisch, Laura Buzdugan, Peter Bühlmann
Publication date: 28 May 2020
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-019-00948-1
Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Uses Software
Cites Work
- Unnamed Item
- Bagging predictors
- Group Inference in High Dimensions with Applications to Hierarchical Testing
- Replicability analysis for genome-wide association studies
- Estimation and testing under sparsity. École d'Été de Probabilités de Saint-Flour XLV -- 2015
- Valid post-selection inference
- Stability
- Statistics for high-dimensional data. Methods, theory and applications.
- Causation, prediction, and search
- Heuristics of instability and stabilization in model selection
- The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)
- A significance test for the lasso
- Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization
- p-Values for High-Dimensional Regression
- Identification of Causal Effects Using Instrumental Variables
- Hierarchical testing of variable importance
- Stability Selection
- Anchor Regression: Heterogeneous Data Meet Causality
- Variable Selection with Error Control: Another Look at Stability Selection
- The Blessings of Multiple Causes
