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Description
  • The contribution is focused on change point detection in a one-dimensional stochastic process using sparse parameter estimation from an overparametrized model. A stochastic process with change in the mean is estimated using dictionary consisting of Heaviside functions. Among all possible representations of the process we want to find a sparse one utilizing a significantly reduced number of atoms. The basis pursuit algorithm is used to get sparse parameter estimates. The basis pursuit approach proposes an alternative technique of the change point detection. In this contribution the authors calculate empirical probability of successful change point detection as a function depending on the smoothing parameter and the level of standard deviation of an additive white noise of the stochastic process. The empirical probability was computed by simulations where locations of change points were chosen randomly from uniform distribution.
  • The contribution is focused on change point detection in a one-dimensional stochastic process using sparse parameter estimation from an overparametrized model. A stochastic process with change in the mean is estimated using dictionary consisting of Heaviside functions. Among all possible representations of the process we want to find a sparse one utilizing a significantly reduced number of atoms. The basis pursuit algorithm is used to get sparse parameter estimates. The basis pursuit approach proposes an alternative technique of the change point detection. In this contribution the authors calculate empirical probability of successful change point detection as a function depending on the smoothing parameter and the level of standard deviation of an additive white noise of the stochastic process. The empirical probability was computed by simulations where locations of change points were chosen randomly from uniform distribution. (en)
Title
  • Impact of Smoothing Parameter on Change Point Detection by Sparse Parameter Estimation
  • Impact of Smoothing Parameter on Change Point Detection by Sparse Parameter Estimation (en)
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  • Impact of Smoothing Parameter on Change Point Detection by Sparse Parameter Estimation
  • Impact of Smoothing Parameter on Change Point Detection by Sparse Parameter Estimation (en)
skos:notation
  • RIV/60162694:G42__/11:00448954!RIV12-MO0-G42_____
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203715
http://linked.open...ai/riv/idVysledku
  • RIV/60162694:G42__/11:00448954
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Change point detection; overparametrized model; sparse parameter estimation; smoothing parameter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F215522A79CD]
http://linked.open...v/mistoKonaniAkce
  • Yalta, Ukraine
http://linked.open...i/riv/mistoVydani
  • Kijev
http://linked.open...i/riv/nazevZdroje
  • XXVII International Conference Problems Of Decision Making Under Uncertainties (PDMU-2011)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Neubauer, Jiří
  • Veselý, Vítězslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-966-188-227-9
http://localhost/t...ganizacniJednotka
  • G42
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