Consistency of direct integral estimator for partially observed systems of ordinary differential equations

Ivan Vujačić, Itai Dattner

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we use the sieve framework to prove consistency of the ‘direct integral estimator’ of parameters for partially observed systems of ordinary differential equations, which are commonly used for modeling dynamic processes.

Original languageEnglish
Pages (from-to)40-45
Number of pages6
JournalStatistics and Probability Letters
Volume132
DOIs
StatePublished - Jan 2018

Bibliographical note

Funding Information:
The first author was supported by the Dutch Technology Foundation STW (10714), which is part of the Netherlands Organization for Scientific Research (NWO), and which is partly funded by Ministry of Economic Affairs. The second author was supported by the Israeli Science Foundation grant number 387/15, by the German–Israeli Foundation for Scientific Research and Development grant number I-2390-304.6/2015, and by a STAR Visitor Grant. The authors are thankful to Bartek Knapik, Shota Gugushvili and Eduard Belitser for useful discussions.

Funding Information:
The first author was supported by the Dutch Technology Foundation STW (10714), which is part of the Netherlands Organization for Scientific Research (NWO), and which is partly funded by Ministry of Economic Affairs . The second author was supported by the Israeli Science Foundation grant number 387/15 , by the German–Israeli Foundation for Scientific Research and Development grant number I-2390-304.6/2015 , and by a STAR Visitor Grant . The authors are thankful to Bartek Knapik, Shota Gugushvili and Eduard Belitser for useful discussions. Appendix A

Publisher Copyright:
© 2017 Elsevier B.V.

Keywords

  • Consistency
  • Nonparametric regression
  • Ordinary differential equations
  • Sieve extremum estimators

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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