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Showing 1 to 2 of 2 for “"Model order selection"”.

  1. Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees

    … guarantees. We use a point process GLM model and MDL (as a model order selection tool) for consistent estimation of directed information between neural spike trains. We have successfully applied this methodology to a network of simulated neurons and electrode array recordings. This work …

    uiuc Repository record for Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees (opens in a new tab)

  2. Near-optimal inversion of incoherent scatter radar measurements: coding schemes, processing techniques, and experiments

    … work is the development of a discrete forward model for F-region incoherent scatter measurements, where long pulses are utilized in transmission. The range smearing imposed on measurements by long pulses is modeled as a one-dimensional convolution along the range in the simplified case where …

    uiuc Repository record for Near-optimal inversion of incoherent scatter radar measurements: coding schemes, processing techniques, and experiments (opens in a new tab)