MAS is proposed as a new parameterization for CCIFs in TPPs using distinct interpolation and extrapolation spline components to overcome convexity, saturation, and modeling requirement issues of MNNs.
Bayesian methods for discovering structure in neural spike trains,
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Efficient Temporal Point Processes via Monotone Alternating Splines
MAS is proposed as a new parameterization for CCIFs in TPPs using distinct interpolation and extrapolation spline components to overcome convexity, saturation, and modeling requirement issues of MNNs.