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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Toyomu Matsuda

We give an extension of Le's stochastic sewing lemma. The stochastic sewing lemma proves convergence in

L_m

of Riemann type sums

\sum _{[s,t] \in \pi } A_{s,t}

for an adapted two-parameter stochastic process A, under certain conditions on the moments o ...

Cambridge Univ Press2024

Intégrale de Riemann

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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

A Functional Perspective on Information Measures

The 2021 Magnonics Roadmap

Constraint-aware neural networks for Riemann problems

Embedded Microchannel Cooling for High Power-Density GaN-on-Si Power Integrated Circuits

MATHICSE Technical Report: Constraint-Aware Neural Networks for Riemann Problems

Photoinitiator-free multi-photon fabrication of compact optical waveguides in polydimethylsiloxane

Efficient geometric integrators for nonadiabatic quantum dynamics. II. The diabatic representation

Central limit theorems for multilevel Monte Carlo methods

Photoinitiator-free Laser Fabrication of Ultra-compact, Low-loss Waveguides in Polydimethylsiloxane

Embedded Microchannel Cooling for High Power-Density GaN-on-Si Power Integrated Circuits

A Functional Perspective on Information Measures

MATHICSE Technical Report: Constraint-Aware Neural Networks for Riemann Problems

Efficient geometric integrators for nonadiabatic quantum dynamics. II. The diabatic representation

Photoinitiator-free Laser Fabrication of Ultra-compact, Low-loss Waveguides in Polydimethylsiloxane

Central limit theorems for multilevel Monte Carlo methods

Photoinitiator-free multi-photon fabrication of compact optical waveguides in polydimethylsiloxane

Constraint-aware neural networks for Riemann problems

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

The 2021 Magnonics Roadmap