An approximate zero bias transformation for random sums: Applications to sampling with outliers, auto insurance, and generative AI
Wasamon Jantai, Nathakhun Wiroonsri
https://t.co/5xMr05PeW4 [𝚖𝚊𝚝𝚑.𝙿𝚁 𝚜𝚝𝚊𝚝.𝙼𝙴]
Global well-posedness for the 2D stochastic hypoviscous Navier-Stokes equations
https://t.co/lGH7fh13qO [𝚖𝚊𝚝𝚑.𝙿𝚁 𝚖𝚊𝚝���.𝙰𝙿]
💬Submitted to the Oberwolfach Seminar 'Stochastic Partial Differential Equations in Critical Spaces' organised by Antonio Agresti and Mark Veraar
Small-time annealed large deviations principle for one-dimensional diffusions in a random environment
Yiduo Wang, Saisai Yang, Tusheng Zhang
https://t.co/I0PFzeUB6c [𝚖𝚊𝚝𝚑.𝙿𝚁]
Moderate Deviations for the Largest Eigenvalue of a Randomly Deformed Gaussian Unitary Ensemble
Shaochen Wang, Guangyu Yang
https://t.co/8itE7Lvsau [𝚖𝚊𝚝𝚑.𝙿𝚁 𝚖𝚊𝚝𝚑-𝚙𝚑]
Fredholm and Sturm–Liouville Type Characterizations of the Limit Measure for the Kac Killing Penalization for Lévy Processes
Kohki Iba
https://t.co/XhzElZpIXq [𝚖𝚊𝚝𝚑.𝙿𝚁]
Explicit Bounds on the Entropy of Piecewise Hölder Graphon Models
Connor Loehde-Woolard, François G. Meyer
https://t.co/Nn5G2w1KI2 [𝚖𝚊𝚝𝚑.𝙿𝚁 𝚌𝚜.𝚂𝙸 𝚜𝚝𝚊𝚝.𝙼𝙻]
Solution to a fully coupled McKean-Vlasov forward-backward stochastic difference equation and applications to optimal control with law-delay
Duocheng Wang
https://t.co/huurujDloz [𝚖𝚊𝚝𝚑.𝙿𝚁]