Mapping of spatial hotspots, ie, regions with significantly higher rates of generating cases of
certain events (eg, disease or crime cases), is an important task in diverse societal domains …

We review recent developments in the econometrics of shape restrictions and their role in
applied work. Our objectives are threefold. First, we aim to emphasize the diversity of …

We propose a new technique, called wild binary segmentation (WBS), for consistent
estimation of the number and locations of multiple change-points in data. We assume that …

Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional
random vectors Page 1 The Annals of Statistics 2013, Vol. 41, No. 6, 2786–2819 DOI …

We introduce a new estimator, the simultaneous multiscale change point estimator SMUCE,
for the change point problem in exponential family regression. An unknown step function is …

We propose a new, generic and flexible methodology for non-parametric function estimation,
in which we first estimate the number and locations of any features that may be present in …

A MOSUM procedure for the estimation of multiple random change points Page 1 Bernoulli
24(1), 2018, 526–564 DOI: 10.3150/16-BEJ887 A MOSUM procedure for the estimation of …

The problem of univariate mean change point detection and localization based on a
sequence of n independent observations with piecewise constant means has been …

This article considers the problem of testing many moment inequalities where the number of
moment inequalities, denoted by, is possibly much larger than the sample size. There is a …

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