Generalized bent-cable methodology for changepoint data: a Bayesian approach-Reference-Cited by-同舟云学术

Generalized bent-cable methodology for changepoint data: a Bayesian approach

Published:2017-10-25 Issue:10 Volume:45 Page:1799-1812
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Khan Shahedul A.¹,Kar Setu C.¹

Affiliation:

1. Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon, Saskatchewan, Canada

Funder

NSERC Discovery Grant

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2017.1391754

Reference19 articles.

1. Hierarchical Changepoint Models for Biochemical Markers Illustrated by Tracking Postradiotherapy Prostate-Specific Antigen Series in Men With Prostate Cancer

2. G.S. Chiu, Bent-cable regression for assessing abruptness of change, Ph.D. diss., Simon Fraser University, 2002.

3. G. Chiu, bentcableAR: Bent-cable regression for independent data or autoregressive time series, R package version 0.3.0 (2015). Available at https://CRAN.R-project.org/package=bentcableAR.

4. Bent-cable regression with autoregressive noise

5. Bent-Cable Regression Theory and Applications

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