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Forward-reverse expectation-maximization algorithm for Markov chains: convergence and numerical analysis

Advances in Applied Probability, 2018
AbstractWe develop a forward-reverse expectation-maximization (FREM) algorithm for estimating parameters of a discrete-time Markov chain evolving through a certain measurable state-space. For the construction of the FREM method, we develop forward-reverse representations for Markov chains conditioned on a certain terminal state.
Mai, Hilmar, Schoenmakers, John G. M., Bayer, Christian   +2 more
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Potential theory for quantum Markov states and other quantum Markov chains

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Franco Fagnola, Ameur Dhahri
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Controllability and decentralized stabilization of the Kolmogorov forward equation for Markov chains

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Shiba Biswal, Spring Berman, Karthik Elamvazhuthi   +2 more
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Pricing and greening decisions of competitive forward and reverse supply chains under government financial intervention: Iranian motorcycle industry case study

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Herbod Jolai, Ashkan Hafezalkotob, Raziyeh Reza-Gharehbagh   +2 more
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On the Study of Forward Kolmogorov System: the Corresponding Problems and Bounds for Inhomogeneous Continuous-time Markov Chains and Models

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Yakov Satin, Anastasia Kryukova, Galina Shilova   +2 more
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Integrating dual-channel closed-loop supply chains: Forward, reverse or neither?

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Wei Geng, Jiuh-Biing Sheu
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Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains

Journal of Computational and Graphical Statistics, 2020
Manon Michel, Alain Durmus
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Two Approaches to the Construction of Perturbation Bounds for Continuous-Time Markov Chains

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Yakov Satin, Viktor Korolev, Alexander Zeifman   +2 more
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Overview of coordination contracts within forward and reverse supply chains

Journal of Cleaner Production, 2013
Ali Diabat, Kannan Govindan
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An efficient forward–reverse expectation-maximization algorithm for statistical inference in stochastic reaction networks

Stochastic Analysis and Applications, 2016
Pedro Andrés Vilanova Guerra, Christian Bayer, Raul Fidel Tempone   +2 more
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