Distributed Lag Neural Additive Models
In simulations, DLNAMs generally outperformed DLNM comparators, including penalized and treed variants, in recovering known response functions, with lower bias, stronger boundary recovery, and better-calibrated cumulative intervals; gains were largest for more demanding functions.
Calle Helmersson, Shivangi Pandey, Leonardo Olivetti et al.
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