Splitting strategies for post-selection inference
DG Rasines - Biometrika, 2023 - academic.oup.com
We consider the problem of providing valid inference for a selected parameter in a sparse
regression setting. It is well known that classical regression tools can be unreliable in this …
regression setting. It is well known that classical regression tools can be unreliable in this …
Splitting strategies for post-selection inference
DG Rasines, GA Young - Biometrika, 2023 - ideas.repec.org
SummaryWe consider the problem of providing valid inference for a selected parameter in a
sparse regression setting. It is well known that classical regression tools can be unreliable in …
sparse regression setting. It is well known that classical regression tools can be unreliable in …
Splitting strategies for post-selection inference
DG Rasines, GA Young - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
We consider the problem of providing valid inference for a selected parameter in a sparse
regression setting. It is well known that classical regression tools can be unreliable in this …
regression setting. It is well known that classical regression tools can be unreliable in this …
[PDF][PDF] Splitting strategies for post-selection inference
DG Rasines, GA Young - Biometrika, 2023 - academic.oup.com
We consider the problem of providing valid inference for a selected parameter in a sparse
regression setting. It is well known that classical regression tools can be unreliable in this …
regression setting. It is well known that classical regression tools can be unreliable in this …
Splitting strategies for post-selection inference
DG Rasines, GA Young - arXiv preprint arXiv:2102.02159, 2021 - arxiv.org
We consider the problem of providing valid inference for a selected parameter in a sparse
regression setting. It is well known that classical regression tools can be unreliable in this …
regression setting. It is well known that classical regression tools can be unreliable in this …
Splitting strategies for post-selection inference
DG Rasines, GA Young - Biometrika, 2023 - econpapers.repec.org
SummaryWe consider the problem of providing valid inference for a selected parameter in a
sparse regression setting. It is well known that classical regression tools can be unreliable in …
sparse regression setting. It is well known that classical regression tools can be unreliable in …