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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.

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0111 · Dec 202519922001200920172026
1 result for “NeuroMemFPP”
NeuroMemFPP: A recurrent neural approach for memory-aware parameter estimation in fractional Poisson processcs.LG

NeuroMemFPP uses LSTM to estimate FPP parameters with high accuracy.

problem Estimating parameters of fractional Poisson process with memory and long-range dependence.
method Recurrent Neural Network (RNN), specifically Long Short-Term Memory (LSTM), for parameter estimation.
result The LSTM-based approach reduces MSE by about 55.3% compared to traditional MOM method.
NeuroMemFPPFractional Poisson ProcessRecurrent Neural NetworkLong Short-Term MemoryParameter Estimation
2025-12-05abs ↗pdf ↗