A Class of Statistics with Asymptotically Normal Distribution

Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

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Use of Ranks in One-Criterion Variance Analysis

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Robust estimation of a location parameter

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A kernel two-sample test

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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

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A Kernel Method for the Two-Sample-Problem

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Lower bounds on sample size in structural equation modeling

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Integrating structured biological data by Kernel Maximum Mean Discrepancy

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Group representations in probability and statistics

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Predicting many properties of a quantum system from very few measurements

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Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: a tutorial using simulations and empirical data

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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

Fisher, A., Rudin, C., & Dominici, F. (2018) · arXiv · doi:10.48550/arxiv.1801.01489 · Cited by 1,165

Energy statistics: A class of statistics based on distances

Székely, G. J., & Rizzo, M. L. (2013) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2013.03.018 · Cited by 695

Representations for partially exchangeable arrays of random variables

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Multivariate sensitivity analysis and derivative-based global sensitivity measures with dependent variables

Lamboni, M., & Kucherenko, S. (2021) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.107519 · Cited by 44

Calibration tests beyond classification

Widmann, D., Lindsten, F., & Zachariah, D. (2022) · arXiv · doi:10.48550/arxiv.2210.13355 · Cited by 3