Estimating the Rate Constant from Biosensor Data via an Adaptive Variational Bayesian Approach

@article{Zhang2019EstimatingTR,
  title={Estimating the Rate Constant from Biosensor Data via an Adaptive Variational Bayesian Approach},
  author={Yan-Na Zhang and Zheng Yao and Per-Erik Forss{\'e}n and Torgny Fornstedt},
  journal={arXiv: Statistics Theory},
  year={2019}
}
  • Yan-Na Zhang, Zheng Yao, +1 author Torgny Fornstedt
  • Published 2019
  • Mathematics
  • arXiv: Statistics Theory
  • The means to obtain the rate constants of a chemical reaction is a fundamental open problem in both science and the industry. Traditional techniques for finding rate constants require either chemical modifications of the reactants or indirect measurements. The rate constant map method is a modern technique to study binding equilibrium and kinetics in chemical reactions. Finding a rate constant map from biosensor data is an ill-posed inverse problem that is usually solved by regularization. In… CONTINUE READING

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