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Publications (2 of 2) Show all publications
Hammarström, H., Rönchen, P., Elgh, E. & Wiklund, T. (2019). On computational historical linguistics in the 21st century. Theoretical Linguistics, 45(3-4), 233-245
Open this publication in new window or tab >>On computational historical linguistics in the 21st century
2019 (English)In: Theoretical Linguistics, ISSN 0301-4428, E-ISSN 1613-4060, Vol. 45, no 3-4, p. 233-245Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
Walter de Gruyter, 2019
National Category
General Language Studies and Linguistics
Identifiers
urn:nbn:se:uu:diva-401919 (URN)10.1515/tl-2019-0015 (DOI)000501333800006 ()
Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-13Bibliographically approved
Wiklund, T. (2018). The Deficiency Introduced by Resampling. Mathematical Methods of Statistics, 27(2), 145-161
Open this publication in new window or tab >>The Deficiency Introduced by Resampling
2018 (English)In: Mathematical Methods of Statistics, ISSN 1066-5307, E-ISSN 1934-8045, Vol. 27, no 2, p. 145-161Article in journal (Refereed) Published
Abstract [en]

When the classical nonparametric bootstrap is implemented by a Monte-Carlo procedure one resamples values from a sequence of, typically, independent and identically distributed ones. But what happens when a decision has to be taken based on such resampled values? One way to quantify the loss of information due to this resampling step is to consider the deficiency distance, in the sense of Le Cam, between a statistical experiment of n independent and identically distributed observations and the one consisting of m observations taken from the original n by resampling with replacement. By comparing with an experiment where only subsamplingwith a random subsampling size has been performed one can bound the deficiency in terms of the amount of information contained in additional observations. It follows for certain experiments that the deficiency distance is proportional to the expected fraction of observations missed when resampling.

Place, publisher, year, edition, pages
PLEIADES PUBLISHING INC, 2018
Keywords
deficiency, resampling, bootstrap, comparison of experiments
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:uu:diva-361294 (URN)10.3103/S1066530718020047 (DOI)000438710500004 ()
Available from: 2018-09-26 Created: 2018-09-26 Last updated: 2018-09-26Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5465-999x

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