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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,786 papers · 148 categories

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2 results for “Clusters-of-Centres (CoC)”
Learning Centre Partitions from Summariesstat.ME

Develops methods to learn centre groupings from summary statistics in multi-centre studies.

problem Violation of homogeneity of parameters across centres in multi-centre studies.
method Clusters-of-Centres (CoC) algorithm that merges centres based on multivariate Cochran-type tests.
result Golden-partition recovery as the number of rounds grows with sample size.
multi-centre studiesdistributed inferencesummary statisticsCochran-type testsClusters-of-Centres (CoC)
2025-09-19abs ↗pdf ↗
FCOC: A Fractal-Chaotic Co-driven Framework for Financial Volatility Forecastingq-fin.RM

FCOC framework improves financial volatility forecasting.

problem Tackles dual challenges of feature fidelity and model responsiveness in financial volatility forecasting.
method Synergizes fractal feature extraction and dynamic chaotic oscillation processing.
result Demonstrates profound and generalizable impact on S\&P 500 and DJI datasets.
financial volatilityforecastingfractal featurechaotic oscillationfeature fidelity
2025-11-13abs ↗pdf ↗