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20112023
most citedA variational approach to path estimation and parameter inference of hidden diffusion processes

11 citations · 13 across the 10 of their papers we have counts for

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math.PR2022

Moment stability of stochastic processes with applications to control systems

Arnab Ganguly, Debasish Chatterjee

We establish new conditions for obtaining uniform bounds on the moments of discrete-time stochastic processes. Our results require a weak negative drift criterion along with a stat…

math.PR2018★ 1 cited

Inhomogeneous functionals and approximations of invariant distributions of ergodic diffusions: Error analysis through central limit theorem and moderate deviation asymptotics

Arnab Ganguly, P. Sundar

The paper considers an Euler discretization based numerical scheme for approximating functionals of invariant distribution of an ergodic diffusion. Convergence of the numerical sch…

math.PR2014

Moderate Deviation Principles for Stochastic Differential Equations with Jumps

Amarjit Budhiraja, Paul Dupuis, Arnab Ganguly

Moderate deviation principles for stochastic differential equations driven by a Poisson random measure (PRM) in finite and infinite dimensions are obtained. Proofs are based on a v…

math.PR2011

Wong-Zakai type convergence in infinite dimensions

Arnab Ganguly

The paper deals with convergence of solutions of a class of stochastic differential equations driven by infinite-dimensional semimartingales. The infinite-dimensional semimartingal…

math.PR2011

Uniform moment bounds of multi-dimensional functions of discrete-time stochastic processes

Arnab Ganguly, Debasish Chatterjee, John Lygeros +1

We establish conditions for uniform -th moment bound of certain -valued functions of a discrete-time stochastic process taking values in a general metric space. The condit…