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gfpop: an R Package for Univariate Graph-Constrained Change-Point
  Detection
v1v2 (latest)

gfpop: an R Package for Univariate Graph-Constrained Change-Point Detection

10 February 2020
Vincent Runge
T. Hocking
Gaetano Romano
Fatemeh Afghah
Paul Fearnhead
G. Rigaill
ArXiv (abs)PDFHTML

Papers citing "gfpop: an R Package for Univariate Graph-Constrained Change-Point Detection"

3 / 3 papers shown
Title
perms: Likelihood-free estimation of marginal likelihoods for binary
  response data in Python and R
perms: Likelihood-free estimation of marginal likelihoods for binary response data in Python and R
Dennis Christensen
Per August Jarval Moen
42
0
0
04 Sep 2023
Functional Labeled Optimal Partitioning
Functional Labeled Optimal Partitioning
T. Hocking
Jacob M. Kaufman
Alyssa J. Stenberg
50
0
0
05 Oct 2022
Increased peak detection accuracy in over-dispersed ChIP-seq data with
  supervised segmentation models
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models
Arnaud Liehrmann
G. Rigaill
T. Hocking
64
9
0
12 Dec 2020
1