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Found 3 papers, 3 papers with code
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks
We consider frequently used scoring rules for right-censored survival regression models such as time-dependent concordance, survival-CRPS, integrated Brier score and integrated binomial log-likelihood, and prove that neither of them is a proper scoring rule.
A kernel log-rank test of independence for right-censored data
We introduce a general non-parametric independence test between right-censored survival times and covariates, which may be multivariate.
A kernel- and optimal transport- based test of independence between covariates and right-censored lifetimes
We propose a nonparametric test of independence, termed optHSIC, between a covariate and a right-censored lifetime.
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