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Journal Article
David Bruns-Smith and others
Journal of the Royal Statistical Society Series B: Statistical Methodology, qkaf019, https://doi.org/10.1093/jrsssb/qkaf019
Published: 24 April 2025
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Published: 24 April 2025
Figure 3. Augmented balancing weights estimates for the LaLonde (1986) dataset with the expanded set of 171 features used in Farrell (2015) ; the top row shows ridge-augmented ℓ 2 balancing, and the bottom row shows lasso-augmented ℓ ∞ balancing. Panels (a) and (d) show the threefold cros
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Published: 24 April 2025
Figure 4. Ridge-augmented ℓ 2 balancing weights (‘double ridge’) for LaLonde (1986) with the original 11 covariates. Panel (a) shows the threefold cross-validated R 2 for the Ridge-penalized regression of Y p on Φ p among control units across the hyperparameter λ ; the d
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Published: 24 April 2025
Figure 1. Regularization paths for ‘double ridge’ augmented ℓ 2 balancing weights. Panel (a) shows the coefficients β ^ reg λ of a ridge regression of Y p on Φ p with hyperparameter λ . The dots on the left are the ordinary least-squares (OLS) coefficients, with
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Published: 24 April 2025
Figure 2. Regularization paths for ‘double lasso’ augmented ℓ ∞ balancing weights. Panel (a) shows the coefficients β ^ reg λ of a lasso regression of Y p on Φ p with hyperparameter λ . The dots on the left are the ordinary least-squares (OLS) coefficients, with
Journal Article
Nicholas Rios and Dennis K J Lin
Journal of the Royal Statistical Society Series B: Statistical Methodology, qkaf020, https://doi.org/10.1093/jrsssb/qkaf020
Published: 21 April 2025
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Published: 21 April 2025
Figure 1. An example of a DAG from Topcuoglu et al. (2002) .
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Published: 21 April 2025
Figure 2. Two examples of directed acyclic graphs. (a) m = 6 . (b) m = 4 .
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Published: 21 April 2025
Figure 5. Graphical constraints for ESC07 sequential ordering problem
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Published: 21 April 2025
Figure 3. A plot of the upper bounds for the expected number of search attempts to find the optimal order with Algorithm 4 .
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Published: 21 April 2025
Figure 4. Transitive closure of DAGs examined for simulation, m = 7 . (a) Scenario 1. (b) Scenario 2. (c) Scenario 3.
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Published: 15 April 2025
Figure 1. Visualization of the intuition behind the reference set. (a) Marginally, the calibration data (shaded) are exchangeable with respect to the test point (no shade). (b) The calibration data are not exchangeable with respect to the test point (shaded slash) given a selection event. (c) We find calibrat
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Published: 15 April 2025
Figure 2. Graphical illustration of D c a l i b s w a p ( i , j ) ( y ) and D t e s t s w a p ( i , j ) .
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Published: 15 April 2025
Figure 5. Empirical miscoverage rate (left), average length of prediction interval (middle), and scatter plots for averaged reference set size { | R ^ j | } j ∈ S ^ vs. | S ^ | (right), across N = 500 independent runs of Vanilla_CP , BY , JOMI ,
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Published: 15 April 2025
Figure 2. Vertical axis: estimates of ξ ED ( Y , X i ) (left graph) and of ξ W 2 2 ( Y , X i ) (right graph); circles ° indicate estimates, dotted lines indicate analytical values. Horizontal axis: partition size increasing from H = 10 to H = 100 . Sa
Journal Article
Emanuele Borgonovo and others
Journal of the Royal Statistical Society Series B: Statistical Methodology, qkaf018, https://doi.org/10.1093/jrsssb/qkaf018
Published: 15 April 2025
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Published: 15 April 2025
Figure 1. From properties of the separation measurement (left) to properties of the measure of statistical association (right).
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Published: 15 April 2025
Figure 3. Histogram of estimates of ξ ED ( Y , X 4 ) . N = 10,000 , H = 20 , and R = 400 .
Journal Article
Ying Jin and Zhimei Ren
Journal of the Royal Statistical Society Series B: Statistical Methodology, qkaf016, https://doi.org/10.1093/jrsssb/qkaf016
Published: 15 April 2025
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Published: 15 April 2025
Figure 3. Empirical selection-conditional miscoverage (left) and prediction set size (right) in drug property prediction for vanilla conformal prediction ( Vanilla_CP ), BY correction ( BY ), JOMI and randomized JOMI ( JOMI_rand ) for test units whose μ ^ ( X n + j ) are top- K ( highest