Estimation of State Transition Probabilities in Asynchronous Vector Markov Processes

[1]  S. Leibler,et al.  Bacterial Persistence as a Phenotypic Switch , 2004, Science.

[2]  Ronald A. Howard,et al.  Comments on the Origin and Application of Markov Decision Processes , 2002, Oper. Res..

[3]  Kalbfleisch Jd,et al.  Estimation in Markov models from aggregate data , 1983 .

[4]  J. Timmer,et al.  The effects of non-identifiability on testing for detailed balance in aggregated Markov models for ion-channel gating. , 2000, Biophysical journal.

[5]  Jean-Michel Brankart,et al.  A truncated Gaussian filter for data assimilation with inequality constraints: Application to the hydrostatic stability condition in ocean models , 2008 .

[6]  T. N. Bhargava,et al.  The Behavior of Stock-Price Relatives - A Markovian Analysis , 1973, Oper. Res..

[7]  Stephen E. Fienberg,et al.  Discrete Multivariate Analysis: Theory and Practice , 1976 .

[8]  B. Craig,et al.  BAYESIAN ESTIMATION OF A DEMOGRAPHIC MATRIX MODEL FROM STAGE-FREQUENCY DATA , 2002 .

[9]  Robert Schoen,et al.  Estimating multistate transition rates from population distributions , 2003 .

[10]  Haili Song,et al.  Optimal electricity supply bidding by Markov decision process , 2000 .

[11]  Dimitris Bertsimas,et al.  Hedging Derivative Securities and Incomplete Markets: An Formula-Arbitrage Approach , 2001, Oper. Res..

[12]  R. Arkowitz,et al.  Responding to attraction: chemotaxis and chemotropism in Dictyostelium and yeast. , 1999, Trends in cell biology.

[13]  Massoud Pedram,et al.  Dynamic power management based on continuous-time Markov decision processes , 1999, DAC '99.

[14]  Leonore A Herzenberg,et al.  Interpreting flow cytometry data: a guide for the perplexed , 2006, Nature Immunology.

[15]  Alan Wells,et al.  Modeling of signal-response cascades using decision tree analysis , 2005, Bioinform..

[16]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[17]  H. Harry Asada,et al.  Broadcast Feedback of Stochastic Cellular Actuators Inspired by Biological Muscle Control , 2007, Int. J. Robotics Res..

[18]  D. L. Hawkins,et al.  Estimating Transition Probabilities from Aggregate Samples Plus Partial Transition Data , 2000, Biometrics.

[19]  Chelsea C. White,et al.  Suboptimal Design for Large Scale, Multimodule Systems , 1981, Oper. Res..

[20]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[21]  A. Das,et al.  A stochastic control framework for regulating collective behaviors of an angiogenesis cell population , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[22]  F. Willekens.  Modeling approaches to the indirect estimation of migration flows: from entropy to EM. , 1999, Mathematical population studies.

[23]  Petar M. Djuric,et al.  Gibbs sampling approach for generation of truncated multivariate Gaussian random variables , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[24]  D. Soll.  High-frequency switching in Candida albicans , 1992, Clinical Microbiology Reviews.

[25]  Nando de Freitas,et al.  An Introduction to MCMC for Machine Learning , 2004, Machine Learning.