• Corpus ID: 3344038

Bayesian variable selection in linear dynamical systems

@article{Aalto2018BayesianVS,
  title={Bayesian variable selection in linear dynamical systems},
  author={Atte Aalto and Jorge M. Gonçalves},
  journal={arXiv: Methodology},
  year={2018}
}
We develop a method for reconstructing regulatory interconnection networks between variables evolving according to a linear dynamical system. The work is motivated by the problem of gene regulatory network inference, that is, finding causal effects between genes from gene expression time series data. In biological applications, the typical problem is that the sampling frequency is low, and consequentially the system identification problem is ill-posed. The low sampling frequency also makes it… 
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