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David Rindt
David Rindt
Verified email at stats.ox.ac.uk
Title
Cited by
Cited by
Year
Survival regression with proper scoring rules and monotonic neural networks
D Rindt, R Hu, D Steinsaltz, D Sejdinovic
International Conference on Artificial Intelligence and Statistics, 1190-1205, 2022
232022
A kernel log-rank test of independence for right-censored data
T Fernández, A Gretton, D Rindt, D Sejdinovic
Journal of the American Statistical Association 118 (542), 925-936, 2023
112023
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC
D Rindt, D Sejdinovic, D Steinsaltz
Stat 10 (1), e364, 2021
10*2021
A kernel-and optimal transport-based test of independence between covariates and right-censored lifetimes
D Rindt, D Sejdinovic, D Steinsaltz
The International Journal of Biostatistics 17 (2), 331-348, 2021
8*2021
Time-to-event regression using partially monotonic neural networks
D Rindt, R Hu, D Steinsaltz, D Sejdinovic
arXiv preprint arXiv:2103.14755, 2021
12021
Nonparametric independence testing and regression for time-to-event data
D Rindt
University of Oxford, 2021
2021
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