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Detecting Changes in Covariance via Random Matrix Theory., and . Technometrics, 65 (4): 480-491 (October 2023)A comparison of single and multiple changepoint techniques for time series data., , , and . Comput. Stat. Data Anal., (2022)Graphical Influence Diagnostics for Changepoint Models., , and . J. Comput. Graph. Stat., 31 (3): 753-765 (July 2022)Multi-step estimators and shrinkage effect in time series models., , and . Comput. Stat., 39 (3): 1203-1239 (May 2024)An assessment of practitioners approaches to forecasting in the presence of changepoints., and . Qual. Reliab. Eng. Int., 36 (8): 2676-2687 (2020)Advancing Reproducible Research by Publishing R Markdown Notebooks as Interactive Sandboxes Using the learnr Package., , , , , , and . R J., 14 (1): 255-263 (2022)Just Browsing?: Understanding User Journeys in Online TV., , , and . ACM Multimedia, page 965-968. ACM, (2014)Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach., , , , and . Environ. Model. Softw., (2021)The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints., , , and . Technometrics, 57 (2): 194-206 (2015)Long memory and changepoint models: a spectral classification procedure., and . Stat. Comput., 28 (2): 291-302 (2018)