3 papers
stat.ME2026
Nonparametric Survival Estimation with Contaminated and Adjudicated Events
Martin Bladt, Kristian Vilhelm Dinesen
We study the conditional expert Kaplan-Meier estimator, an extension of the classical Kaplan--Meier estimator designed for time-to-event data subject to both right-censoring and co…
stat.ME2025
Bayesian non-parametric survival estimation: stochastic hyperparameter sequences and distribution splicing
Martin Bladt, Jorge González Cázares
A Bayesian non-parametric framework for studying time-to-event data is proposed, where the prior distribution is allowed to depend on an additional random source, and may update wi…
math.ST2025
Conditional Extreme Value Estimation for Dependent Time Series
Martin Bladt, Laurits Glargaard, Theodor Henningsen
We study the consistency and weak convergence of the conditional tail function and conditional Hill estimators under broad dependence assumptions for a heavy-tailed response sequen…