Muldowney, Pat and Murtagh, Fionn (2003) The Generalized Riemann or Henstock Integral Underpinning Multivariate Data Analysis: Application to Faint Structure Finding in Price Processes.
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Practical data analysis involves many implicit or explicit assumptions about the good behavior of the data, and excludes consideration of various potentially pathological or limit cases. In this work, we present a new general theory of data, and of data processing, to bypass some of these assumptions.The new framework presented is focused on integration, and has direct applicability to expectation, distance, correlation, and aggregation. In a case study, we seek to reveal faint structure in financial data. Our new foundation for data encoding and handling offers increased justification for our conclusions.
This is a Submitted version This version's date is: 5/8/2003 This item is not peer reviewed
https://repository.royalholloway.ac.uk/items/80c5aa61-a992-cda8-f022-eb2f7c6cff41/4/
Deposited by Research Information System (atira) on 03-Jul-2014 in Royal Holloway Research Online.Last modified on 03-Jul-2014
27 pages, 4 figures. Various changes made relative to previous versions, in particular in introductory section