We consider the problem of nonparametric regression under shape constraints. The main
examples include isotonic regression (with respect to any partial order), unimodal/convex …

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent
techniques, models, and computational tools for interval-censored time-to-event data. Top …

We study generalized additive models, with shape restrictions (eg monotonicity, convexity
and concavity) imposed on each component of the additive prediction function. We show …

Divide and conquer in nonstandard problems and the super-efficiency phenomenon Page 1
The Annals of Statistics 2019, Vol. 47, No. 2, 720–757 https://doi.org/10.1214/17-AOS1633 © …

Local and global asymptotic inference in smoothing spline models Page 1 The Annals of
Statistics 2013, Vol. 41, No. 5, 2608–2638 DOI: 10.1214/13-AOS1164 © Institute of Mathematical …

The problem of nonparametric inference on a monotone function has been extensively
studied in many particular cases. Estimators considered have often been of so-called …

Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood
Ratio Page 1 Statistical Science 2024, Vol. 39, No. 2, 322–345 https://doi.org/10.1214/23-STS910 …

Coverage of credible intervals in Bayesian multivariate isotonic regression Page 1 The Annals of
Statistics 2023, Vol. 51, No. 3, 1376–1400 https://doi.org/10.1214/23-AOS2298 © Institute of …

We consider the problem of constructing pointwise confidence intervals in the multiple
isotonic regression model. Recently, Han and Zhang (2020) obtained a pointwise limit …

For nonparametric univariate regression under a monotonicity constraint on the regression
function f, we study the coverage of a Bayesian credible interval for f (x 0), where x0 is an …