Andradottir S. (1961). A method for discrete stochastic optimization Manage Sci. 41

Andradottir S. (1999). Accelerating the convergence of random search methods for discrete stochastic optimization Model Comput Simulation. 9

Chung S, Moore J, Krishnamurthy V. (1993). Hidden Markov model signal processing in the presence of unknown deterministic interferences IEEE Trans Automat Contr. 38

Chung SH, Krishnamurthy V, Moore JB. (1991). Adaptive processing techniques based on hidden Markov models for characterizing very small channel currents buried in noise and deterministic interferences. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 334 [PubMed]

Chung SH, Moore JB, Xia LG, Premkumar LS, Gage PW. (1990). Characterization of single channel currents using digital signal processing techniques based on Hidden Markov Models. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 329 [PubMed]

Ephraim Y, Merhav N. (2002). Hidden Markov processes IEEE Trans Inform Theory. 48

Gong W, Ho Y, Zhai W. (1999). Stochastic comparison algorithm for discrete optimization with estimation SIAM J Optim. 10

Hamill OP, Marty A, Neher E, Sakmann B, Sigworth FJ. (1981). Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches. Pflugers Archiv : European journal of physiology. 391 [PubMed]

Hille B. (2001). Ion channels of excitable membranes (3rd Ed).

James M, Krishnamurthy V, Legland F. (1996). Time discretization of continuous-time filters and smoothers for HMM parameter estimation IEEE Trans Inform Theory. 42

Krishnamurthy V, Yin G, Ion C. (2004). Regime switching stochastic approximation algorithms with application to adaptive discrete stochastic optimization SIAM J Optim (to be published).

Leroux B. (1992). Maximum-likelihood estimation for hidden Markov models Stoch Process Appl. 40

Neher E, Sakmann B. (1976). Single-channel currents recorded from membrane of denervated frog muscle fibres. Nature. 260 [PubMed]

O'Mara M, Barry PH, Chung SH. (2003). A model of the glycine receptor deduced from Brownian dynamics studies. Proceedings of the National Academy of Sciences of the United States of America. 100 [PubMed]

Pflug G. (1996). Optimization of Stochastic Models: The Interface Between Simulation and Optimization.

Ritov Y, Bickel P, Ryd T. (1998). Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models Ann Stat. 26

Swisher J, Hyden JSHP, Hyden P, Schruben L. (2000). A survey of simulation optimization techniques and procedures presented at the 2000 Winter Simulation Conf.

Venkataramanan L, Kuc R, Sigworth F. (2000). Identification of hidden Markov models for ion channel currents. Part II: Bandlimited, sampled data IEEE Trans Sig Proc. 48

Yan D, Mukai H. (1992). Stochastic discrete optimization J Control Optim. 30