activity
20112023
most citedEffective Filtering on a Random Slow Manifold

8 citations · 36 across the 37 of their papers we have counts for

collaborators

37 papers

math.PR2023

Large deviation principles of nonlinear filtering for McKean-Vlasov stochastic differential equations

Huijie Qiao, Shengqing Zhu

In this paper, we study large deviation principles of nonlinear filtering for McKean-Vlasov stochastic differential equations. First of all, we establish the large deviation princi…

math.PR2023★ 1 cited

Large deviations of multiscale multivalued McKean-Vlasov stochastic systems

Huijie Qiao

This work concerns about multiscale multivalued McKean-Vlasov stochastic systems. First of all, we use a contractive mapping principle to establish the well-posedness for fully cou…

math.PR2023

The central limit theorem for stochastic Volterra equations with singular kernels

Huijie Qiao

This work concerns stochastic Volterra equations with singular kernels. Under the suitable conditions, we prove the central limit theorem for them. Moreover, we apply our result to…

math.PR2022

Limit theorems of invariant measures for multivalued McKean-Vlasov stochastic differential equations

Huijie Qiao

The work concerns invariant measures for multivalued McKean-Vlasov stochastic differential equations. First of all, we prove the exponential ergodicity of these equations. Then for…

math.PR2022★ 1 cited

Weak approximation of nonlinear filtering for multiscale McKean-Vlasov stochastic systems

Huijie Qiao, Wanlin Wei

The work concerns the nonlinear filtering problem for a class of multiscale McKean-Vlasov stochastic systems. First of all, by a Poisson equation we prove that the solution of the…

math.PR2022

Deviation estimates for multivalued McKean-Vlasov stochastic differential equations

Kun Fang, Huijie Qiao

The work concerns deviation estimates for multivalued McKean-Vlasov stochastic differential equations. First of all, we prove the large deviation principle for them by the weak con…

math.PR2022★ 1 cited

Strong approximation of nonlinear filtering for multiscale McKean-Vlasov stochastic systems

Huijie Qiao, Wanlin Wei

This work concerns the nonlinear filtering problem of multiscale McKean-Vlasov stochastic systems where the whole systems depend on distributions of fast components. First of all,…

math.PR2022★ 5 cited

The Onsager-Machlup action functional for Mckean-Vlasov SDEs

Shanqi Liu, Hongjun Gao, Huijie Qiao

This paper is devoted to deriving the Onsager-Machlup action functional for Mckean-Vlasov stochastic differential equations in a class of norms that dominate $L^2([0,1], \mathbb{R}…

math.PR2021

Backward multivalued McKean-Vlasov SDEs and associated variational inequalities

Jun Gong, Huijie Qiao

The work concerns a type of backward multivalued McKean-Vlasov stochastic differential equations. First, we prove the existence and uniqueness of solutions for backward multivalued…

math.PR2021

Stability for multivalued McKean-Vlasov stochastic differential equations

Huijie Qiao, Jun Gong

The work concerns multivalued McKean-Vlasov stochastic differential equations. First of all, we prove the existence and uniqueness of strong solutions for multivalued McKean-Vlasov…

math.PR2020★ 1 cited

Uniqueness and superposition of the space-distribution dependent Zakai equations

Meiqi Liu, Huijie Qiao

The work concerns the space-distribution dependent Zakai equations from nonlinear filtering problems of McKean-Vlasov stochastic differential equations with correlated noises. Firs…

math.PR2020★ 1 cited

Superposition principles for the Zakai equations and the Fokker-Planck equations on measure spaces

Huijie Qiao

The work concerns the superposition between the Zakai equations and the Fokker-Planck equations on measure spaces. First, we prove a superposition principle for the Fokker-Planck e…

math.PR2020★ 1 cited

Parameter estimation of path-dependent McKean-Vlasov stochastic differential equations

Meiqi Liu, Huijie Qiao

The work concerns a class of path-dependent McKean-Vlasov stochastic differential equations with unknown parameters. First, we prove the existence and uniqueness of these equations…

math.PR2020

Coupled McKean-Vlasov stochastic differential equations with jumps

Huijie Qiao

This work concerns a type of coupled McKean-Vlasov stochastic differential equations (MVSDEs in short) with jumps. First, we prove superposition principles for these coupled MVSDEs…

math.PR2020

Limit theorems of SDEs driven by Lévy processes and application to nonlinear filtering problems

Huijie Qiao

In this paper we study the convergence of solutions for (possibly degenerate) stochastic differential equations driven by Lévy processes, when the coefficients converge in some app…

math.PR2020

Limit theorems of stochastic differential equations with jumps

Huijie Qiao

In this paper, we study the convergence for solutions to a sequence of (possibly degenerate) stochastic differential equations with jumps, when the coefficients converge in some ap…

math.PR2020

Path independence of the additive functionals for stochastic differential equations driven by G-Lévy processes

Huijie Qiao, Jiang-Lun Wu

In the paper, we consider a type of stochastic differential equations driven by G-Lévy processes. We prove that a kind of their additive functionals has path independence and exten…

math.PR2019★ 5 cited

Path independence of the additive functionals for McKean-Vlasov stochastic differential equations with jumps

Huijie Qiao, Jiang-Lun Wu

In this article, the path independent property of additive functionals of McKean-Vlasov stochastic differential equations with jumps is characterised by nonlinear partial integro-d…

math.PR2019

Convergence of nonlinear filterings for multiscale systems with correlated Lévy noises

Huijie Qiao

In the paper, we consider nonlinear filtering problems of multiscale systems in two cases-correlated sensor Lévy noises and correlated Lévy noises. First of all, we prove that the…

math.PR2019

Nonlinear filtering of stochastic differential equations driven by correlated Lévy noises

Huijie Qiao

The work concerns nonlinear filtering problems of stochastic differential equations with correlated Lévy noises. First, we establish the Kushner-Stratonovich and Zakai equations th…

math.PR2019

Stability for Stochastic McKean-Vlasov Equations with Non-Lipschitz Coefficients

Xiaojie Ding, Huijie Qiao

In this paper we consider the stability for a type of stochastic McKean-Vlasov equations with non-Lipschitz coefficients. First, sufficient conditions are given for the exponential…

math.PR2019★ 4 cited

Euler-Maruyama Approximations for Stochastic McKean-Vlasov Equations with Non-Lipschitz Coefficients

Xiaojie Ding, Huijie Qiao

In this paper we study a type of stochastic McKean-Vlasov equations with non-Lipschitz coefficients. Firstly, by an Euler-Maruyama approximation existence of its weak solutions is…

math.PR2018

Effective Filtering for Multiscale Stochastic Dynamical Systems driven by Lévy processes

Huijie Qiao

The work is about multiscale stochastic dynamical systems driven by Lévy processes. First, we prove that these systems can approximate low-dimensional systems on random invariant m…

math.PR2018

Support theorems for degenerate stochastic differential equations with jumps and applications

Huijie Qiao, Jiang-Lun Wu

In the paper, we are concerned with degenerate stochastic differential equations with jumps. Firstly, we establish two support theorems for the solutions of the degenerate stochast…