Unverified50% confidenceFactExact time
The paper "Limit Theory for Online Expectile Estimation under Short and Long Range Dependence" provides asymptotic theoretical support for online expectile estimation, covering both short-range and long-range dependence cases.
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50%
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Long-term
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10/14/2026
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Related Claims
UnverifiedUnder short-range dependence, the paper proves that the iterates are asymptotically Gaussian at the √γ scale, with the asymptotic variance jointly determined by the population curvature and the long-run variance of the expectile score.68% similarUnverifiedFor the limiting predictive mean, when c = 1/2 and τ is below a certain threshold the mean begins to deviate from the prior value, and when c > 1/2 the limiting mean exactly equals the least-squares prediction.63% similarUnverifiedThe standard federated aggregation algorithm FedAvg assumes that client gradients can be directly averaged to estimate the global gradient, but simple averaging under Non-IID conditions causes gradient drift.61% similarUnverifiedConformal prediction provides finite-sample validity guarantees without making parametric assumptions about the data distribution, meaning that prediction intervals cover the true value at a frequency of at least 1-α at confidence level α.61% similar
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