Vandal, Alain C. - Department of Mathematics and Statistics, McGill University

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Vandal, Alain C. - Department of Mathematics and Statistics, McGill University

Interval censored data arises when individuals can be subjected to periodic inspection at random moments, and their status (e.g. failed or functioning) is ascertained at each inspection. We exploit
Computational Algorithms for Censored Data Problems Using Intersection Graphs
A covariate--based coefficient of source dependence for capture--recapture models
Minimal Covers of Maximal Antichains for Interval Orders Alain C. Vandal
Order theory and nonparametric maximum likelihood for interval censored data
Graph--Theoretical Aspects of Bivariate Censored Data R. Gentleman
Weak order partitioning of interval orders with applications to interval censored data