Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise

4 May 2020

Papers citing "Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise"

10 / 10 papers shown

Title
Fast and Optimal Inference for Change Points in Piecewise Polynomials via Differencing Shakeel Gavioli-Akilagun Piotr Fryzlewicz 48 1 0 07 Jul 2023
A Constant-per-Iteration Likelihood Ratio Test for Online Changepoint Detection for Exponential Family Models Kes Ward Gaetano Romano I. Eckley Paul Fearnhead 52 7 0 09 Feb 2023
A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning Gaetano Romano I. Eckley Paul Fearnhead 89 5 0 06 Feb 2023
Detecting A Single Change-point Paul Fearnhead Piotr Fryzlewicz 68 3 0 13 Oct 2022
Fast Online Changepoint Detection via Functional Pruning CUSUM statistics Gaetano Romano I. Eckley Paul Fearnhead G. Rigaill 62 28 0 15 Oct 2021
Inference for Change Points in High Dimensional Mean Shift Models A. Kaul George Michailidis 53 4 0 19 Jul 2021
Autocovariance Estimation in the Presence of Changepoints C. Gallagher Rebecca Killick R. Lund Xueheng Shi 38 9 0 21 Feb 2021
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models Arnaud Liehrmann G. Rigaill T. Hocking 50 9 0 12 Dec 2020
A review on minimax rates in change point detection and localisation Yi Yu 48 19 0 03 Nov 2020
gfpop: an R Package for Univariate Graph-Constrained Change-Point Detection Vincent Runge T. Hocking Gaetano Romano Fatemeh Afghah Paul Fearnhead G. Rigaill 42 13 0 10 Feb 2020