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Stock Price Prediction Using Kernel Adaptive Filtering Within a Stock Market Interdependence Approach

https://doi.org/10.2139/ssrn.3306250
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 41 checked references that resolve
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The 13 references without a DOI — listed, not checked
no DOI — not checkedCausality, chaos, explanation and prediction in economics and finance
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no DOI — not checkedOn the difficulty of training recurrent neural networks
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no DOI — not checkedBounded kernel-based online learning
no DOI — not checkedDouble updating online learning
no DOI — not checkedOn the review and application of entropy in finance
no DOI — not checkedOption price calibration from r�nyi entropy
no DOI — not checkedHilbert transform, spectral filters and option pricing
no DOI — not checkedMeasuring neural synchrony by message passing
no DOI — not checkedThe alpha engine: Designing an automated trading algorithm
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