bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems. Erdman, C. & Emerson, J. W.
bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems [link]Paper  abstract   bibtex   
Barry and Hartigan (1993) propose a Bayesian analysis for change point problems. We provide a brief summary of selected work on change point problems, both preceding and following Barry and Hartigan. We outline Barry and Hartigan's approach and offer a new R package, pkgbcp (Erdman and Emerson 2007), implementing their analysis. We discuss two frequentist alternatives to the Bayesian analysis, the recursive circular binary segmentation algorithm (Olshen and Venkatraman 2004) and the dynamic programming algorithm of (Bai and Perron 2003). We illustrate the application of bcp with economic and microarray data from the literature.
@article{erdman_bcp_nodate,
	title = {bcp: {An} {R} {Package} for {Performing} a {Bayesian} {Analysis} of {Change} {Point} {Problems}},
	shorttitle = {bcp},
	url = {https://core.ac.uk/display/6303235},
	abstract = {Barry and Hartigan (1993) propose a Bayesian analysis for change point problems. We provide a brief summary of selected work on change point problems, both preceding and following Barry and Hartigan. We outline Barry and Hartigan's approach and offer a new R package, pkgbcp (Erdman and Emerson 2007), implementing their analysis. We discuss two frequentist alternatives to the Bayesian analysis, the recursive circular binary segmentation algorithm (Olshen and Venkatraman 2004) and the dynamic programming algorithm of (Bai and Perron 2003). We illustrate the application of bcp with economic and microarray data from the literature.},
	language = {en-gb},
	urldate = {2020-06-02},
	author = {Erdman, Chandra and Emerson, John W.}
}

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