Translation invariant statistical experiments with independent increments
Alexander Gushchin,
Nino Kordzakhia () and
Alexander Novikov ()
Additional contact information
Nino Kordzakhia: Macquarie University
Alexander Novikov: University of Technology Sydney
Statistical Inference for Stochastic Processes, 2018, vol. 21, issue 2, No 7, 363-383
Abstract:
Abstract We provide a full description of the class of translation invariant experiments with independent increments. Necessary and sufficient conditions for the weak convergence and the comparison of experiments within this class are given. Finally, we prove exponential boundedness of Pitman estimators in these models.
Keywords: Comparison of experiments; Convergence of experiments; Experiment with independent increments; Hellinger integral; Lévy process; Lévy–Khintchine triplet; Pitman estimator; Stochastic exponential; Translation invariant experiment; 62B20; 62E20; 62F15; 62M99 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11203-018-9179-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sistpr:v:21:y:2018:i:2:d:10.1007_s11203-018-9179-7
Ordering information: This journal article can be ordered from
http://www.springer. ... ty/journal/11203/PS2
DOI: 10.1007/s11203-018-9179-7
Access Statistics for this article
Statistical Inference for Stochastic Processes is currently edited by Denis Bosq, Yury A. Kutoyants and Marc Hallin
More articles in Statistical Inference for Stochastic Processes from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().