Quantifying the uncertainty in change points

By Christopher F. H. Nam, John A. D. Aston, Adam M. Johansen. 2012

51 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/111e65c532dc751760e507d8950f9f5bdb447b89

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Nicolas Vayatis
2. Laurent Oudre
3. Charles Truong

In Statistics and Probability

1. Nicolas Vayatis
2. Laurent Oudre
3. Charles Truong

Citations in the corpus

• changepoint: An R Package for Changepoint Analysis (2014, unknown): “The potential for using a likelihood based approach to detect changepoints was first proposed by Hinkley (1970) who derives the asymptotic distribution of the likelihood ratio test statistic for a change in the mean within normally distributed observations.”
• Selective review of offline change point detection methods (2020, methodology): “This model has been applied on EEG/ECG time series [72], functional magnetic resonance imaging (fMRI) time series [81] and speech recognition tasks [12].”
• A review of change point detection methods (2018, methodology): “The piecewise autoregressive model has been applied on piecewise weakly stationarity signals, such as EEG/ECG time series [115], functional magnetic resonance imaging (fMRI) time series [104] and speech recognition tasks [2].”