Deep tobit model: an integrated framework for high-dimensional censored regression with variable selection.

High-dimensional data with left-censored responses are increasingly common in modern applications, yet existing methods for analyzing them are limited. Classical Tobit models fail to handle nonlinear relationships or perform high-dimensional variable…

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