M'at'e Gerencs'er

Finance · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Finance — 23 citations into it; #8,877 of 10,518 by trust here, #9,371 by citations
• Applied Mathematics — 7 citations into it; #6,706 of 7,620 by trust here, #6,655 by citations
• Computational Theory and Mathematics — 6 citations into it
• Control and Systems Engineering — 5 citations into it

Whom M'at'e Gerencs'er trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Khoa Le
2. Nicolai V. Krylov
3. Rémi Catellier
4. Massimiliano Gubinelli
5. Michael Röckner

Who trusts M'at'e Gerencs'er overall

1. István Gyöngy

Papers from M'at'e Gerencs'er's perspective

Ordered by how strongly the researchers M'at'e Gerencs'er trusts endorse each paper. Same corpus, a different order for every researcher.

1. Strong solutions of stochastic equations with singular time dependent drift
2. On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift
3. A stochastic sewing lemma and applications (Electronic Journal of Probability)
4. HYBRID ATLAS MODELS
5. Convergence Rate of Euler–Maruyama Scheme for SDEs with Hölder–Dini Continuous Drifts (Journal of theoretical probability)
6. Averaging along irregular curves and regularisation of ODEs
7. Controlling rough paths
8. Well-posedness of the transport equation by stochastic perturbation
9. Analytical Methods for Markov Semigroups
10. Regularization of differential equations by fractional noise

Their papers

• Quantifying a convergence theorem of Gyöngy and Krylov (2021) — 50 citations
• On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift (2018) — 53 citations