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YING HUNG - Rutgers, the State University of New Jersey

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” Hidden Markov Models with Applications in Cell Adhesion Experiments”
15 November 2012 from 4:00 PM to 5:00 PM
111 Tyson Bldg.
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Estimation of the number of hidden states is challenging in hidden Markov models. Motivated by the analysis of a specific type of cell adhesion experiments, a new frame- work based on hidden Markov model and double penalized order selection is proposed. The order selection procedure is shown to be consistent in estimating the number of states. A modified Expectation-Maximization algorithm is introduced to efficiently estimate parameters in the model. Simulations show that the proposed framework outperforms existing methods. Applications of the proposed methodology to real da- ta demonstrate the accuracy of estimating receptor-ligand bond lifetimes and waiting times which are essential in kinetic parameter estimation.

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