Research output per year
Research output per year
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Dive into the research topics where Lijing Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research Outputs
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Change-point detection in autoregressive processes via the Cross-Entropy method
Ma, L. & Sofronov, G., May 2020, In: Algorithms. 13, 5, p. 1-16 16 p., 128.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)16 Downloads (Pure) -
Multiple change point detection and validation in autoregressive time series data
Ma, L., Grant, A. J. & Sofronov, G., Aug 2020, In: Statistical Papers. 61, 4, p. 1507-1528 22 p.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile3 Citations (Scopus)12 Downloads (Pure) -
A Monte Carlo method for multiple change-point detection in a segmented ARMA model
Ma, L., Sofronov, G. & Wishart, J., 2019, 12th International Conference on Monte Carlo Methods and Applications, MCM 2019: conference program and information. p. 117 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract
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Modelling structural breaks in Autoregressive Time Series using parametric spectral discrimination tests
Grant, A., Ma, L., Sofronov, G. & Wishart, J. R., 2019, INFORMS APS 2019. p. 100 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract
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Change-point detection in time series data
Sofronov, G. & Ma, L., 2017. 1 p.Research output: Contribution to conference › Abstract