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ARFIMA Model/Evidence
Method evidence record

ARFIMA Model

ARFIMA is a time series model that captures long-memory behaviour using a fractional differencing parameter d, generalising the integer differencing of ARIMA. It was introduced by Granger and Joyeux (1980) and formalised by Hosking (1981) to describe series whose autocorrelations decay slowly rather than abruptly.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Autoregressive Fractionally Integrated Moving Average Model
Taxonomic method record · regression-model / econometrics
  • Granger, C. W. J. & Joyeux, R. (1980). An Introduction to Long-Memory Time Series Models and Fractional Differencing. Journal of Time Series Analysis, 1(1), 15–29. · DOI 10.1111/j.1467-9892.1980.tb00297.x
  • Hosking, J. R. M. (1981). Fractional Differencing. Biometrika, 68(1), 165–176. · DOI 10.1093/biomet/68.1.165
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.See alsoRidge Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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