Rough path theory and stochastic calculus
PulseAugur coverage of Rough path theory and stochastic calculus — every cluster mentioning Rough path theory and stochastic calculus across labs, papers, and developer communities, ranked by signal.
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New research unifies stochastic optimal control frameworks
A new research paper published on arXiv introduces a unified framework for stochastic optimal control, bridging the gap between Itô calculus and rough path theory. The study demonstrates a connection between the optimal…
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New framework enhances online signature verification with path signatures and T-Mamba
Researchers have developed a new framework for online signature verification that combines the augmented path signature (APS) descriptor with a T-Mamba model. The APS descriptor captures geometric structures and nonline…
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New PSLR framework enhances functional data classification using path signatures
Researchers have introduced Path Signatures Logistic Regression (PSLR), a novel semi-parametric framework designed for classifying vector-valued functional data. This method utilizes path signatures to represent data, o…