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Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation

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Publication:3391995
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DOI10.1287/opre.1060.0291zbMath1167.60343OpenAlexW2158126207MaRDI QIDQ3391995

T. P. I. Ahamed, Vivek S. Borkar, Sandeep Juneja

Publication date: 13 August 2009

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/opre.1060.0291



Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Stochastic approximation (62L20)


Related Items (8)

Reinforcement learning, sequential Monte Carlo and the EM algorithm ⋮ A new learning algorithm for optimal stopping ⋮ On the inefficiency of state-independent importance sampling in the presence of heavy tails ⋮ The cross-entropy method with patching for rare-event simulation of large Markov chains ⋮ Markov chains, Hamiltonian cycles and volumes of convex bodies ⋮ Approximating zero-variance importance sampling in a reliability setting ⋮ Adaptive sampling of large deviations ⋮ Monte Carlo methods for pricing financial options




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