We us a temporal model to infer missing observations and compute the covariance in the residuals to find linear correlations amongst the SDG targets. We combine a linear dynamical system (LDS) with inputs with an autoregressive model of order 2 (AR2).
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Finding linear correlations between the SDG targets using model-based machine learning
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