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Sequential Quantile Estimation

Sequential Quantile Estimation is a dynamic statistical method designed to estimate specified quantiles in real-time through continuous data streams. This method can handle large-scale, high-speed data flows, ensuring accurate quantile estimation with limited resources. Its primary goal is to reduce computational complexity and storage requirements while maintaining estimation accuracy. It has significant application value in fields such as financial risk assessment, network monitoring, and real-time data analysis.

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Sequential Quantile Estimation | SOTA | HyperAI