Detecting Critical Change in Dynamics Through Outlier Detection with Time-Varying Parameters
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Intensive longitudinal data are often found to be non-stationary, namely, showing changes in statistical properties, such as means and variance-covariance structures, over time. One way to accommodate non-stationarity is to specify key parameters that show ove... ...
