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Structured Estimation of Heterogeneous Time Series
How best to model structurally heterogeneous processes is a foundational question in the social, health and behavioral sciences.
Consistency of Lloyd's Algorithm Under Perturbations
In canonical settings with ground truth clusters, we derive bounds for algorithms such as $k$-means$++$ to find good initializations and thus leading to the correctness of clustering via the main result.
Block Dense Weighted Networks with Augmented Degree Correction
Dense networks with weighted connections often exhibit a community like structure, where although most nodes are connected to each other, different patterns of edge weights may emerge depending on each node's community membership.
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Despite these new opportunities psychological researchers have not taken full advantage of promising opportunities inherent to this data, the potential to forecast psychological processes at the individual level.
