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20162022
most citedOptimal Rate of Convergence for Quasi-Stochastic Approximation

5 citations · 14 across the 10 of their papers we have counts for

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7 papers · 1 filter

math.PR2021

A Dual Characterization of the Stability of the Wonham Filter

Jin Won Kim, Prashant G. Mehta

This paper revisits the classical question of the stability of the nonlinear Wonham filter. The novel contributions of this paper are two-fold: (i) definition of the stabilizabilit…

math.PR2021

The Conditional Poincaré Inequality for Filter Stability

Jin Won Kim, Prashant G. Mehta, Sean Meyn

This paper is concerned with the problem of nonlinear filter stability of ergodic Markov processes. The main contribution is the conditional Poincaré inequality (PI), which is show…

math.PR2020

On the Lyapunov Foster criterion and Poincaré inequality for Reversible Markov Chains

Amirhossein Taghvaei, Prashant G. Mehta

This paper presents an elementary proof of stochastic stability of a discrete-time reversible Markov chain starting from a Foster-Lyapunov drift condition. Besides its relative sim…

math.PR2019

A Dual Characterization of Observability for Stochastic Systems

Jin W. Kim, Prashant G. Mehta

This paper is concerned with a characterization of the observability for a continuous-time hidden Markov model where the state evolves as a general continuous-time Markov process a…

math.PR2018

An Approach to Duality in Nonlinear Filtering

Jin W. Kim, Amirhossein Taghvaei, Prashant G. Mehta +1

This paper revisits the question of duality between minimum variance estimation and optimal control first described for the linear Gaussian case in the celebrated paper of Kalman a…

math.PR2017

Error Analysis for the Linear Feedback Particle Filter

Amirhossein Taghvaei, Prashant G. Mehta

This paper is concerned with the convergence and the error analysis for the feedback particle filter (FPF) algorithm. The FPF is a controlled interacting particle system where the…