ruptures: change point detection in Python

Using penalized contrasts for the change-point problem

M. Lavielle · 2005

Earlier work this paper cites.

bcp: an R package for performing a Bayesian analysis of change point problems

C. Erdman and J. W. Emerson · 2007

Earlier work this paper cites.

Retrospective mutiple change-point estimation with kernels

Z. Harchaoui and O. Cappé · 2007

Earlier work this paper cites.

Fast detection of multiple change-points shared by many signals using group LARS

Original

J.-P. Vert and K. Bleakley · 2010

Earlier work this paper cites.

Optimal detection of changepoints with a linear computational cost

R. Killick, P. Fearnhead, and I. Eckley · 2012

Earlier work this paper cites.

Inference for single and multiple change-points in time series

V. Jandhyala, S. Fotopoulos, I. Macneill, and P. Liu · 2013

Cited alongside, same era.

ecp: an R package for nonparametric multiple change point analysis of multivariate data

N. A. James and D. S. Matteson · 2014

Cited alongside, same era.

changepoint: an R package for changepoint analysis

R. Killick and I. A. Eckley · 2014

Cited alongside, same era.

Large-margin metric learning for constrained partitioning problems

R. Lajugie, F. Bach, and S. Arlot · 2014

Cited alongside, same era.

PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data

T. Hocking, G. Rigaill, and G. Bourque · 2015

Cited alongside, same era.

Parametric and nonparametric sequential change detection in R: the cpm package

G. J. Ross · 2015

Later among the works it cites.

A robust approach for estimating change-points in the mean of an AR(1) process

S. Chakar, É. Lebarbier, C. Levy-Leduc, and S. Robin · 2017

Later among the works it cites.

breakfast: multiple change-point detection and segmentation, 2017

P. Fryzlewicz · 2017

Later among the works it cites.

Computationally efficient changepoint detection for a range of penalties

K. Haynes, I. A. Eckley, and P. Fearnhead · 2017

Later among the works it cites.

On optimal multiple changepoint algorithms for large data

R. Maidstone, T. Hocking, G. Rigaill, and P. Fearnhead · 2017

Later among the works it cites.