Isotonic regression in deterministic and random design settings
This thesis will treat the subject of constrained statistical inference and will have its focus on isotonic regression, which is the problem of estimating functions that are assumed to be monotone. A characterisation of isotonic regression and a solution to this problem will be given. The PAVA algorithm to compute the isotonic regres- sion estimator will be introduced along with asymptotic distrib
