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 …

The severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) and SARS-
CoV-1 accessory protein Orf3a colocalizes with markers of the plasma membrane, endocytic …

Many traditional methods for identifying changepoints can struggle in the presence of
outliers, or when the noise is heavy-tailed. Often they will infer additional changepoints to fit …

We propose seeded binary segmentation for large-scale changepoint detection problems.
We construct a deterministic set of background intervals, called seeded intervals, in which …

During endoplasmic-reticulum-associated protein degradation (ERAD), misfolded proteins
are polyubiquitinated, extracted from the ER membrane and degraded by the proteasome …

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 …

We propose a novel multivariate nonparametric multiple change point detection method
using classifiers. We construct a classifier log-likelihood ratio that uses class probability …

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 …

Fast multiple change-point segmentation methods, which additionally provide faithful
statistical statements on the number, locations and sizes of the segments, have recently …

Since the universal acceptance of atoms and molecules as the fundamental constituents of
matter in the early-twentieth century, molecular physics, chemistry, and molecular biology …