output
19982026
most citedConvergence of Edge Computing and Deep Learning: A Comprehensive Survey

1.5k citations

Showing 2017 · math.PRShow all

12 papers · 2 filters

math.PR2017

Berry-Esseen bounds for self-normalized martingales

Xiequan Fan, Qi-Man Shao

A Berry-Esseen bound is obtained for self-normalized martingales under the assumption of finite moments. The bound coincides with the classical Berry-Esseen bound for standardized…

math.PR2017★ 2 cited

Gradient Estimates on Dirichlet Eigenfunctions

Marc Arnaudon, Anton Thalmaier, Feng-Yu Wang

By methods of stochastic analysis on Riemannian manifolds, we derive explicit constants and for a -dimensional compact Riemannian manifold with boundary…

math.PR2017★ 1 cited

Degenerate SDEs with Singular Drift and Applications to Heisenberg Groups

Xing Huang, Feng-Yu Wang

By using the ultracontractivity of a reference diffusion semigroup, Krylov's estimate is established for a class of degenerate SDEs with singular drifts, which leads to existence a…

math.PR2017★ 1 cited

Asymptotic Log-Harnack Inequality and Applications for Stochastic Systems of Infinite Memory

Jianhai Bao, Feng-Yu Wang, Chenggui Yuan

The asymptotic log-Harnack inequality is established for several different models of stochastic differential systems with infinite memory: non-degenerate SDEs, Neutral SDEs, semi-l…

math.PR2017★ 7 cited

Heavy tail and light tail of Cox-Ingersoll-Ross processes with regime-switching

Tongtong Hou, Jinghai Shao

This work is denoted to studying the tail behavior of Cox-Ingersoll-Ross (CIR) processes with regime-switching. One essential difference shown in this work between CIR process with…

math.PR2017★ 8 cited

Nonlinear Fokker-Planck equations for Probability Measures on Path Space and Path-Distribution Dependent SDEs

Xing Huang, Michael Röckner, Feng-Yu Wang

By investigating path-distribution dependent stochastic differential equations, the following type of nonlinear Fokker--Planck equations for probability measures …