Better Bootstrap Confidence Intervals

By Bradley Efron. 1987

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Citations in the corpus

Safe Policy Improvement with Baseline Bootstrapping (2017, methodology): “• The last one is based on Efrons Bootstrap methods (Efron, 1987).”
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation (2016, neutral): “This section gives an overview of bootstrapping [7].”
Q^{2}: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering (2021, methodology): “We bootstrap (Efron, 1987) by sampling 400 sentences with repetition, c% of them being inconsistent and computing the system-level score.”
Safe Reinforcement Learning (2015, methodology): “1 X̄n ← 1 n ∑n i=1Xi; // Sample mean 2 B ← 2000; // Number of bootstrap resamplings to perform // Generate B resamplings of the data and store the sample means 3 for i = 1 to B do 4 Randomly sample n elements of x ∈ X, with replacement; 5 Set ξi to be the mean of these n samples; // Estimate the bia”
Marketing Mix Modeling Using PLS-SEM, Bootstrapping the Model Coefficients (2021, methodology): “Using bias‐corrected and accelerated (BCa) bootstrap confidence intervals solves this problem by adjusting for biases and skewness in the bootstrap distribution [22]; for a de‐ tailed step‐by‐step explanation of the methodology in a PLS‐SEM context, see [23].”
The Effects of Parenting Stress, Perceived Mastery, and Maternal Depression on Parent–Child Interaction (2011, methodology): “According to Efron (1987), this method produces more accurate confidence intervals when the mediated effect is not 0.”
Assessing Mediational Models: Testing and Interval Estimation for Indirect Effects (2010, methodology): “This interval can often be improved via bias correction and acceleration (Efron, 1987), referred to in this study as BCa, where the endpoints of the CI are adjusted to increase the accuracy of the asymptotic approximation from first to second order (see Efron & Tibshinari, 1993, p.”
High Confidence Policy Improvement (2015, methodology): “A popular method for this sort of bootstrapping is Bias Corrected and accelerated (BCa) bootstrap (Efron, 1987).”
How does sensory brand experience influence brand equity? Considering the roles of customer satisfaction, customer affective commitment, and employee empathy (2019, methodology): “To check for this kind of bias effect, bias corrected and accelerated bootstrap confidence intervals (Efron, 1987; Streukens, Wetzels, Daryanto, & De Ruyter, 2010) were added for”
The Person–Situation Debate Revisited: Effect of Situation Strength and Trait Activation on the Validity of the Big Five Personality Traits in Predicting Job Performance (2014, methodology): “, to eliminate the possible biasing effects due to error variances being correlated with correlation values, or, in this case, with the job variables), we used bootstrapped estimates (Efron, 1987), wherein the original sample of studies was used to generate additional bootstrap samples.”
One-and-One-Half-Bound Dichotomous Choice Contingent Valuation (2001, background): “The second and third rows gives Efron’s (1987) Bias Corrected Accelerated (BCa) 95% confidence intervals, which adjust the jackknife output for potential nonnormalities.”
Capturing value from alliance portfolio diversity: The mediating role of R&D human capital in high and low tech industries (2017, background): “Bias-corrected at 95% CIs were calculated (Efron, 1987) and point estimates of indirect effects were considered significant if zero was not contained in the confidence interval.”
Bootstrap prediction intervals in state–space models (2009, methodology): “We try alternative methods such as the bias-corrected and the acceleration bias-corrected with similar results; see Efron (1987) for a definition of these intervals. 2. We are particularly interested in dealing with this distribution because of its relation with the linear transformation of the auto”