Dynamic Regression Models for Survival Data

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High-dimensional additive hazards models and the Lasso (2011, background): “It can also “be seen as a first-order Taylor series expansion of a general intensity” (see [23], p.”
Recovering time-varying networks of dependencies in social and biological studies (2009, background): “Because TESLA inherently finds a temporally smoothed and regularized solution to a time-varying regression problem, perhaps it is beneficial to differentiate our work from contributions in the areas of spatial, temporal, and spatiotemporal regression that found a widespread use in ecology (24), soci”