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On the jackknife Kibria-Lukman estimator for the linear regression model
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Using biomarkers to allocate patients in a response-adaptive clinical trial
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Model selection for inferring Gaussian graphical models
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Scalable kernel two-sample tests via empirical likelihood and jackknife
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A bivariate geometric distribution via conditional specification: properties and applications
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Distance-based directional depth classifiers: a robustness study
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A sequential sampling approach for discriminating log-normal, Weibull, and log-logistic distributions
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Variable selection in double/debiased machine learning for causal inference: an outcome-adaptive approach
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Optimal personalized treatment selection with multivariate outcome measures in a multiple treatment case
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