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 …

Change point analysis has applications in a wide variety of fields. The general problem
concerns the inference of a change in distribution for a set of time-ordered observations …

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 …

There are many different ways in which change point analysis can be performed, from purely
parametric methods to those that are distribution free. The ecp package is designed to …

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 projected intensification of agriculture to meet food targets of a rapidly growing world
population are likely to accentuate already acute problems of soil compaction and …

While many methods are available to detect structural changes in a time series, few
procedures are available to quantify the uncertainty of these estimates post-detection. In this …

A subset of human neocortical neurons harbors complex karyotypes wherein megabase-
scale copy-number variants (CNVs) alter allelic diversity. Divergent levels of neurons with …

We propose, a heterogeneous simultaneous multiscale change point estimator called 'H-
SMUCE'for the detection of multiple change points of the signal in a heterogeneous …

Photorhabdus is a highly effective insect pathogen and symbiont of insecticidal nematodes.
To exert its potent insecticidal effects, it elaborates a myriad of toxins and small molecule …