My bibliography
Save this item
A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yoshiyuki Ninomiya, 2015. "Change-point model selection via AIC," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(5), pages 943-961, October.
- Yu Chuan Tai & Mark N. Kvale & John S. Witte, 2010. "Segmentation and Estimation for SNP Microarrays: A Bayesian Multiple Change-Point Approach," Biometrics, The International Biometric Society, vol. 66(3), pages 675-683, September.
- repec:jss:jstsof:33:i04 is not listed on IDEAS
- Fryzlewicz, Piotr, 2020. "Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection," LSE Research Online Documents on Economics 103430, London School of Economics and Political Science, LSE Library.
- Sean Jewell & Paul Fearnhead & Daniela Witten, 2022. "Testing for a change in mean after changepoint detection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1082-1104, September.
- Harris, David & Kew, Hsein & Taylor, A.M. Robert, 2020.
"Level shift estimation in the presence of non-stationary volatility with an application to the unit root testing problem,"
Journal of Econometrics, Elsevier, vol. 219(2), pages 354-388.
- David Harris & Hsein Kew & A. M. Robert Taylor, 2020. "Level Shift Estimation in the Presence of Non-stationary Volatility with an Application to the Unit Root Testing Problem," Monash Econometrics and Business Statistics Working Papers 8/20, Monash University, Department of Econometrics and Business Statistics.
- Asuka Takeda & Yuichi Ando & Jun Tomio, 2023. "Long- and Short-Term Trends in Outpatient Attendance by Speciality in Japan: A Joinpoint Regression Analysis in the Context of the COVID-19 Pandemic," IJERPH, MDPI, vol. 20(23), pages 1-12, December.
- Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2013.
"Inference on Structural Breaks using Information Criteria,"
Manchester School, University of Manchester, vol. 81, pages 54-81, October.
- Alastair R. Hall & Denise R. Osborn & Nikolaos D. Sakkas, 2012. "Inference on Structural Breaks using Information Criteria," Centre for Growth and Business Cycle Research Discussion Paper Series 173, Economics, The University of Manchester.
- Picard, F. & Lebarbier, E. & Budinskà, E. & Robin, S., 2011. "Joint segmentation of multivariate Gaussian processes using mixed linear models," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1160-1170, February.
- Arnaud Dufays & Elysee Aristide Houndetoungan & Alain Coën, 2022.
"Selective Linear Segmentation for Detecting Relevant Parameter Changes [Risks and Portfolio Decisions Involving Hedge Funds],"
Journal of Financial Econometrics, Oxford University Press, vol. 20(4), pages 762-805.
- Arnaud Dufays & Aristide Houndetoungan & Alain Coen, 2024. "Selective linear segmentation for detecting relevant parameter changes," Papers 2402.05329, arXiv.org.
- Aalok Ranjan Chaurasia, 2020. "Long-Term Trend in Infant Mortality in India: A Joinpoint Regression Analysis for 1971–2018," Indian Journal of Human Development, , vol. 14(3), pages 394-406, December.
- Sang Gil Kang & Woo Dong Lee & Yongku Kim, 2021. "Bayesian Multiple Change-Points Detection in a Normal Model with Heterogeneous Variances," Computational Statistics, Springer, vol. 36(2), pages 1365-1390, June.
- Hajra Siddiqa & Sajid Ali & Ismail Shah, 2021. "Most recent changepoint detection in censored panel data," Computational Statistics, Springer, vol. 36(1), pages 515-540, March.
- S Kovács & P Bühlmann & H Li & A Munk, 2023. "Seeded binary segmentation: a general methodology for fast and optimal changepoint detection," Biometrika, Biometrika Trust, vol. 110(1), pages 249-256.
- Matúš Maciak & Ivan Mizera, 2016. "Regularization techniques in joinpoint regression," Statistical Papers, Springer, vol. 57(4), pages 939-955, December.
- Neil Kellard & Denise Osborn & Jerry Coakley & Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2015.
"Structural Break Inference Using Information Criteria in Models Estimated by Two-Stage Least Squares,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 741-762, September.
- Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2013. "Structural Break Inference using Information Criteria in Models Estimated by Two Stage Least Squares," Economics Discussion Paper Series 1328, Economics, The University of Manchester.
- Cho, Haeran & Kirch, Claudia, 2024. "Data segmentation algorithms: Univariate mean change and beyond," Econometrics and Statistics, Elsevier, vol. 30(C), pages 76-95.
- Shi, Xuesheng & Gallagher, Colin & Lund, Robert & Killick, Rebecca, 2022. "A comparison of single and multiple changepoint techniques for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
- Aaron Paul Lowther & Rebecca Killick & Idris Arthur Eckley, 2023. "Detecting changes in mixed‐sampling rate data sequences," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.
- Debi P Bal & Badri N Rath, 2019. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India - A Reassessment," Economics Bulletin, AccessEcon, vol. 39(1), pages 592-604.
- Kurozumi, Eiji & Tuvaandorj, Purevdorj, 2011.
"Model selection criteria in multivariate models with multiple structural changes,"
Journal of Econometrics, Elsevier, vol. 164(2), pages 218-238, October.
- Eiji Kurozumi & Purevdorj Tuvaandorj, 2010. "Model Selection Criteria in Multivariate Models with Multiple Structural Changes," Global COE Hi-Stat Discussion Paper Series gd10-144, Institute of Economic Research, Hitotsubashi University.
- Guédon, Yann & Legave, Jean Michel, 2008. "Analyzing the time-course variation of apple and pear tree dates of flowering stages in the global warming context," Ecological Modelling, Elsevier, vol. 219(1), pages 189-199.
- Harris, David & Leybourne, Stephen J. & Taylor, A.M. Robert, 2016.
"Tests of the co-integration rank in VAR models in the presence of a possible break in trend at an unknown point,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 451-467.
- Harris, D & Leybourne, SJ & Taylor, AMR, 2016. "Tests of the Co-integration Rank in VAR Models in the Presence of a Possible Break in Trend at an Unknown Point," Essex Finance Centre Working Papers 15847, University of Essex, Essex Business School.
- Lee Jaeeun & Chen Jie, 2019. "A penalized regression approach for DNA copy number study using the sequencing data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(4), pages 1-14, August.
- Jian Li & Fugee Tsung & Changliang Zou, 2013. "Directional change‐point detection for process control with multivariate categorical data," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(2), pages 160-173, March.
- Hosik Choi & Eunjung Song & Seung-sik Hwang & Woojoo Lee, 2018. "A modified generalized lasso algorithm to detect local spatial clusters for count data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(4), pages 537-563, October.
- Davis, Richard A. & Hancock, Stacey A. & Yao, Yi-Ching, 2016. "On consistency of minimum description length model selection for piecewise autoregressions," Journal of Econometrics, Elsevier, vol. 194(2), pages 360-368.
- Kaixu Yang & Tapabrata Maiti, 2022. "Ultrahigh‐dimensional generalized additive model: Unified theory and methods," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 917-942, September.
- Jaromír Antoch & Daniela Jarušková, 2013. "Testing for multiple change points," Computational Statistics, Springer, vol. 28(5), pages 2161-2183, October.
- Lu Shaochuan, 2020. "Bayesian multiple changepoints detection for Markov jump processes," Computational Statistics, Springer, vol. 35(3), pages 1501-1523, September.
- Gordon J. Ross, 2020. "Tracking the evolution of literary style via Dirichlet–multinomial change point regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 149-167, January.
- Julia Homann & Jessica L. Oster & Cameron B. Wet & Sebastian F. M. Breitenbach & Thorsten Hoffmann, 2022. "Linked fire activity and climate whiplash in California during the early Holocene," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Yann Guédon, 2013. "Exploring the latent segmentation space for the assessment of multiple change-point models," Computational Statistics, Springer, vol. 28(6), pages 2641-2678, December.
- Toby Dylan Hocking & Anuraag Srivastava, 2023. "Labeled optimal partitioning," Computational Statistics, Springer, vol. 38(1), pages 461-480, March.
- Brennen T. Fagan & Marina I. Knight & Niall J. MacKay & A. Jamie Wood, 2020. "Change point analysis of historical battle deaths," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 909-933, June.
- Brigida, Matt & Pratt, William R., 2017. "Fake news," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 564-573.
- Chulwoo Han & Abderrahim Taamouti, 2017. "Partial Structural Break Identification," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(2), pages 145-164, April.
- Xuesong Yu & Timothy W. Randolph & Hua Tang & Li Hsu, 2010. "Detecting Genomic Aberrations Using Products in a Multiscale Analysis," Biometrics, The International Biometric Society, vol. 66(3), pages 684-693, September.
- Lu Shaochuan, 2023. "Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation," International Statistical Review, International Statistical Institute, vol. 91(1), pages 88-113, April.