Results 151 to 160 of about 1,148,061 (201)

Change point detection in brucellosis time series from 2010 to 2023 in Xinjiang China using the BEAST algorithm. [PDF]

Sci Rep
Yang L, Wang C, Zhou P, Xie N, Tian M, Wang K.   +5 more
europepmc   +1 more source

An integrated change point detection and online monitoring approach for the ratio of two variables using clustering-based control charts. [PDF]

J Appl Stat
Ahmadi Nadi A, Yeganeh A, Shongwe SC, Shadman A.   +3 more
europepmc   +1 more source

Change point detection to analyze air pollution and its economic effects: an exponentially weighted moving average perspective. [PDF]

J Appl Stat
Ahmad S, Riaz M, Mahmood T, Abbas N.
europepmc   +1 more source

Extreme change-point detection

We examine rules for predicting whether a point in $\mathbb{R}$ generated from a 50-50 mixture of two different probability distributions came from one distribution or the other, given limited (or no) information on the two distributions, and, as clues, one point generated randomly from each of the two distributions.
openaire   +2 more sources

A Selective Review on Information Criteria in Multiple Change Point Detection. [PDF]

Entropy (Basel)
Gao Z, Xiao X, Fang YP, Rao J, Mo H.
europepmc   +1 more source

Multiple change point detection and validation in autoregressive time series data. [PDF]

Stat Pap (Berl), 2020
Ma L, Grant AJ, Sofronov G.
europepmc   +1 more source

Change-point detection using diffusion maps for sleep apnea monitoring with contact-free sensors. [PDF]

PLoS One
Shirotori M, Sugitani Y.
europepmc   +1 more source

Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence. [PDF]

Stats (Basel)
Si T, Wang Y, Zhang L, Richmond E, Ahn TH, Gong H.   +5 more
europepmc   +1 more source

Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood. [PDF]

J Appl Stat
Wang P, Ning W.
europepmc   +1 more source