Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
A simple test for heteroscedasticity and random coefficient variation,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Applies conformalized quantile regression with equalized coverage to predict motion control performance in automated vehicles under nominal, degraded, and failed actuator conditions.
citing papers explorer
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Bitcoin's Power Law: Weak Structure, Strong Forecasts
Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
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Equalized Coverage in Motion Control Performance Prediction for Self-Adaptive Road Vehicles
Applies conformalized quantile regression with equalized coverage to predict motion control performance in automated vehicles under nominal, degraded, and failed actuator conditions.