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  1. ( , Proceedings 10th NUMGE 2023 10th European Conference on Numerical Methods in Geotechnical Engineering)
    Zdravkovic L, Kontoe S (Ed.)
    Free, publicly-accessible full text available June 22, 2024
  2. ; ; ; ; ; ; ; ( , Physical Review C)
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  3. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review X)
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  4. ; ; ; ; ; ; ; ; ; ; et al ( , Earth and Space Science)
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  5. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review C)
    Free, publicly-accessible full text available May 1, 2024
  6. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
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  7. ; ; ; ( , Electronic journal of statistics)
    We study the bias of the isotonic regression estimator. While there is extensive work characterizing the mean squared error of the iso- tonic regression estimator, relatively little is known about the bias. In this paper, we provide a sharp characterization, proving that the bias scales as O(n−β/3) up to log factors, where 1 ≤ β ≤ 2 is the exponent correspond- ing to H ̈older smoothness of the underlying mean. Importantly, this result only requires a strictly monotone mean and that the noise distribution has subexponential tails, without relying on symmetric noise or other restrictive assumptions. 
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  8. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review Letters)
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  9. ; ; ; ; ; ; ; ; ; ; et al ( , Astroparticle Physics)
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  10. ; ; ; ; ( , Nature Neuroscience)
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