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022 _a1572-9311
024 7 _a10.1007/11203.1572-9311
_2doi
210 1 0 _aStat Inference Stoch Process
245 1 0 _aStatistical Inference for Stochastic Processes
_h[electronic resource] :
_bAn International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems /
_cedited by Denis Bosq, Yury A. Kutoyants, Siegfried Hörmann, Marc Hallin, Arnaud Gloter.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer.
300 _bonline resource.
520 _aStatistical Inference for Stochastic Processes aims to publish high quality papers devoted to inference in either discrete or continuous time stochastic processes. This includes topics such as ARMA processes, GARCH processes and other time series models, as well as diffusion type processes, point processes, random fields and Markov processes. Papers related to spatial models and empirical processes are also within the scope of the journal. Special focus is placed on methodological advances and sound theoretical results, but submissions that expose potential applications of the developed theory to finance, insurance, economics, biology, physics and engineering are very much encouraged. Officially cited as: Stat Inference Stoch Process .
650 0 _aProbabilities.
650 0 _aStatistics .
650 1 4 _aProbability Theory.
650 2 4 _aStatistical Theory and Methods.
700 1 _aBosq, Denis.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKutoyants, Yury A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHörmann, Siegfried.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHallin, Marc.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGloter, Arnaud.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted version:
_x1387-0874
856 4 0 _uhttps://doi.org/10.1007/11203.1572-9311
_zHybrid
999 _c2411
_d2411