Randomised and L1-penalty approaches to segmentation in time series and regression models

Summary

Randomised and L1-penalty approaches to segmentation in time series and regression models is a doctoral thesis^[1].

Key Facts

• Randomised and L1-penalty approaches to segmentation in time series and regression models authored Karolos Korkas^[2].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's instance of is recorded as doctoral thesis^[3].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's language of work or name is recorded as English^[4].
• Randomised and L1-penalty approaches to segmentation in time series and regression models was released on 2014^[5].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's work available at URL is recorded as https://researchonline.lse.ac.uk/id/eprint/132026/^[6].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's number of pages is recorded as {'unit': '1', 'amount': '+204'}^[7].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's title is recorded as Randomised and L1-penalty approaches to segmentation in time series and regression models^[8].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's thesis submitted to is recorded as London School of Economics and Political Science^[9].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's on focus list of Wikimedia project is recorded as LSEThesisProject^[10].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's copyright status is recorded as copyrighted^[11].
• Randomised and L1-penalty approaches to segmentation in time series and regression models's online access status is recorded as open access^[12].

Body

Designation and Status

Randomised and L1-penalty approaches to segmentation in time series and regression models's instance of is recorded as doctoral thesis^[3].