APO Models

Coverage

APO Pointwise Coverage

The simulations are based on the the make_irm_data_discrete_treatments-DGP with \(500\) observations. Due to the linearity of the DGP, Lasso and Logit Regression are nearly optimal choices for the nuisance estimation.

DoubleML Version                          0.12.dev0
Script                        APOCoverageSimulation
Date                               2025-12-04 18:24
Total Runtime (minutes)                    75.00107
Python Version                               3.12.3
Config File              scripts/irm/apo_config.yml
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)

APOS Coverage

The simulations are based on the the make_irm_data_discrete_treatments-DGP with \(500\) observations. Due to the linearity of the DGP, Lasso and Logit Regression are nearly optimal choices for the nuisance estimation.

The non-uniform results (coverage, ci length and bias) refer to averaged values over all levels (point-wise confidende intervals).

DoubleML Version                           0.12.dev0
Script                        APOSCoverageSimulation
Date                                2025-12-04 18:24
Total Runtime (minutes)                    74.426826
Python Version                                3.12.3
Config File              scripts/irm/apos_config.yml
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)

Causal Contrast Coverage

The simulations are based on the the make_irm_data_discrete_treatments-DGP with \(500\) observations. Due to the linearity of the DGP, Lasso and Logit Regression are nearly optimal choices for the nuisance estimation.

The non-uniform results (coverage, ci length and bias) refer to averaged values over all levels (point-wise confidende intervals).

DoubleML Version                           0.12.dev0
Script                        APOSCoverageSimulation
Date                                2025-12-04 18:24
Total Runtime (minutes)                    74.426826
Python Version                                3.12.3
Config File              scripts/irm/apos_config.yml
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)

Tuning

The simulations are based on the the make_irm_data_discrete_treatments-DGP with \(500\) observations. This is only an example as the untuned version just relies on the default configuration.

APOS Coverage

The non-uniform results (coverage, ci length and bias) refer to averaged values over all levels (point-wise confidende intervals). The same holds for the loss values which are averaged over all treatment levels.

DoubleML Version                                0.12.dev0
Script                       APOSTuningCoverageSimulation
Date                                     2025-12-01 13:09
Total Runtime (minutes)                         38.631183
Python Version                                     3.12.9
Config File              scripts/irm/apos_tune_config.yml
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)

Causal Contrast Coverage

The non-uniform results (coverage, ci length and bias) refer to averaged values over all quantiles (point-wise confidende intervals). The same holds for the loss values which are averaged over all treatment levels.

DoubleML Version                                0.12.dev0
Script                       APOSTuningCoverageSimulation
Date                                     2025-12-01 13:09
Total Runtime (minutes)                         38.631183
Python Version                                     3.12.9
Config File              scripts/irm/apos_tune_config.yml
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)
Loading ITables v2.5.2 from the init_notebook_mode cell... (need help?)