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Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation
2000
Biometrika
S We consider situations where a step function with a variable number of steps provides an adequate model for a regression relationship, while the variance of the observations depends on their mean. This model provides for discontinuous jumps at changepoints and for constant means and error variances in between changepoints. The basic statistical problem consists of identification of the number of changepoints, their locations and the levels the function assumes in between. We embed this
doi:10.1093/biomet/87.2.301
fatcat:7wkeng3j2req3exjtzlvisadee