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  • Delft University of Technology
  • Netherlands
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  1. Bayesian-nonlinear-variable-selection Bayesian-nonlinear-variable-selection Public

    Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear e…

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  2. BF-test-for-NAM-Beta-Coefficients BF-test-for-NAM-Beta-Coefficients Public

    Bayes factor testing for β coefficients in the network autocorrelation model using Savage-Dickey ratio and BIC approximation methods. It proposes Bayes factors for two-sided and multiple hypotheses…

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