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Found 2 papers, 2 papers with code
Covariate-guided Bayesian mixture model for multivariate time series
In this paper, we propose a group-based method to cluster a collection of multivariate time series via a Bayesian mixture of smoothing splines.
Learning as We Go: An Examination of the Statistical Accuracy of COVID19 Daily Death Count Predictions
To assess the accuracy of the IHME models, we examine both forecast accuracy as well as the predictive performance of the 95% prediction intervals provided by the IHME models.
Other Statistics Populations and Evolution
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