Robust shift detection in time-varying autoregressive processes

HIGHLIGHTS

  • who: Jumps and colleagues from the rtmund University of Technology, Germany have published the article: Robust Shift Detection in Time-Varying Autoregressive Processes, in the Journal: (JOURNAL)
  • what: The empirical 99.9% percentiles of the absolute test statistics will be used as critical values in the following since the authors aim at incorrect detection of a shift only once within 1000 time points on average.

SUMMARY

    A basic objective of time series analysis is the estimation of the time-varying level (the signal) underlying the series. Running medians (Tukey, 1977) are . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?