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dc.contributor.author
Hoze, Nathanaël
dc.contributor.author
Holcman, David
dc.date.accessioned
2017-06-12T20:22:32Z
dc.date.available
2017-06-12T20:22:32Z
dc.date.issued
2017-03
dc.identifier.other
10.1146/annurev-statistics-060116-054204
dc.identifier.uri
http://hdl.handle.net/20.500.11850/129617
dc.language.iso
en
dc.publisher
Annual Reviews
dc.subject
Langevin equation
dc.subject
Polymer model
dc.subject
Potential wells
dc.subject
Projections
dc.subject
Recovering forces
dc.subject
Signal deconvolution
dc.subject
Single particle trajectories
dc.subject
Statistical estimators
dc.subject
Stochastic processes
dc.subject
Surface reconstruction
dc.title
Statistical methods for large ensembles of super-resolution stochastic single particle trajectories in cell biology
dc.type
Review Article
ethz.journal.title
Annual Review of Statistics and Its Application
ethz.journal.volume
4
ethz.pages.start
189
ethz.pages.end
223
ethz.notes
Published online 23 December 2016.
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
010190892
ethz.publication.place
Palo Alto, CA
ethz.publication.status
published
ethz.date.deposited
2017-06-12T20:22:48Z
ethz.source
ECIT
ethz.identifier.importid
imp593655583aac444866
ethz.ecitpid
pub:192601
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-20T16:24:48Z
ethz.rosetta.lastUpdated
2020-02-14T18:04:19Z
ethz.rosetta.versionExported
true
ethz.COinS
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