Confidence Intervals for Current Status Data

76 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Nonparametric Shape-Restricted Regression (2017, methodology): “Also see [7, 16] for illustrations and examples of the superior performance of the LR based method over plugin methods for constructing confidence intervals for f(t), especially when the estimation of the derivative f ′(t) is difficult.”
Bootstrapping the Grenander estimator (2008, background): “Hence, by Fubini’s theorem for outer expectations (Lemma 1.2.6 of van der Vaart and Wellner [18]), X̂n is asymptotically tight unconditionally.”
Likelihood based inference for monotone response models (2007, background): “This however is computationally intensive; see, for example, Banerjee and Wellner (2005) and Sen and Banerjee (2005) for a discussion of some of the issues involved.”
Divide and conquer in nonstandard problems and the super-efficiency phenomenon (2016, methodology): “Now, by essentially the same calculation as on Page 422 of [5], P (n1/3[μ̂−1 n (a+λn −1/3)−μ−1 0 (a)] ≤ x) = P (n (μ̂n(θ0+xn )−μ0(θ0)) ≥ λ)→ P (gc,d,D(x) ≥ λ) .”