Forward-reverse EM algorithm for Markov chains
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[1] K. Chan,et al. Monte Carlo EM Estimation for Time Series Models Involving Counts , 1995 .
[2] B. Delyon,et al. Simulation of conditioned diffusion and application to parameter estimation , 2006 .
[3] D. Rubin,et al. The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence , 1994 .
[4] John Schoenmakers,et al. Transition density estimation for stochastic differential equations via forward-reverse representations , 2004 .
[5] Panos Stinis,et al. CONDITIONAL PATH SAMPLING FOR STOCHASTIC DIFFERENTIAL EQUATIONS THROUGH DRIFT RELAXATION , 2011 .
[6] Xiao-Li Meng,et al. Fitting Full-Information Item Factor Models and an Empirical Investigation of Bridge Sampling , 1996 .
[7] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[8] G. C. Wei,et al. A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms , 1990 .
[9] V. Spokoiny,et al. Forward and reverse representations for Markov chains ∗ , 2006 .
[10] Mogens Bladt,et al. Corrigendum to “Simple simulation of diffusion bridges with application to likelihood inference for diffusions” , 2010, Bernoulli.
[11] Xiao-Li Meng,et al. Maximum likelihood estimation via the ECM algorithm: A general framework , 1993 .
[12] Evaluation of conditional Wiener integrals by numerical integration of stochastic differential equations , 2004 .
[13] A. Stuart,et al. Conditional Path Sampling of SDEs and the Langevin MCMC Method , 2004 .
[14] Lain L. MacDonald,et al. Hidden Markov and Other Models for Discrete- valued Time Series , 1997 .
[15] John Schoenmakers,et al. Simulation of forward-reverse stochastic representations for conditional diffusions , 2013, 1306.2452.
[16] É. Moulines,et al. Convergence of a stochastic approximation version of the EM algorithm , 1999 .