001     891975
005     20220930130314.0
024 7 _ |a 10.3390/e23050517
|2 doi
024 7 _ |a 2128/27686
|2 Handle
024 7 _ |a altmetric:104816444
|2 altmetric
024 7 _ |a 33923154
|2 pmid
024 7 _ |a WOS:000653859500001
|2 WOS
037 _ _ |a FZJ-2021-01852
082 _ _ |a 510
100 1 _ |a Rydin Gorjão, Leonardo
|0 P:(DE-Juel1)173608
|b 0
|e Corresponding author
245 _ _ |a Arbitrary-Order Finite-Time Corrections for the Kramers–Moyal Operator
260 _ _ |a Basel
|c 2021
|b MDPI
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1619436945_2677
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a With the aim of improving the reconstruction of stochastic evolution equations from empirical time-series data, we derive a full representation of the generator of the Kramers–Moyal operator via a power-series expansion of the exponential operator. This expansion is necessary for deriving the different terms in a stochastic differential equation. With the full representation of this operator, we are able to separate finite-time corrections of the power-series expansion of arbitrary order into terms with and without derivatives of the Kramers–Moyal coefficients. We arrive at a closed-form solution expressed through conditional moments, which can be extracted directly from time-series data with a finite sampling intervals. We provide all finite-time correction terms for parametric and non-parametric estimation of the Kramers–Moyal coefficients for discontinuous processes which can be easily implemented—employing Bell polynomials—in time-series analyses of stochastic processes. With exemplary cases of insufficiently sampled diffusion and jump-diffusion processes, we demonstrate the advantages of our arbitrary-order finite-time corrections and their impact in distinguishing diffusion and jump-diffusion processes strictly from time-series data.
536 _ _ |a 111 - Energiesystemtransformation (POF4-111)
|0 G:(DE-HGF)POF4-111
|c POF4-111
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Witthaut, Dirk
|0 P:(DE-Juel1)162277
|b 1
700 1 _ |a Lehnertz, Klaus
|0 0000-0002-5529-8559
|b 2
700 1 _ |a Lind, Pedro G.
|0 0000-0002-8176-666X
|b 3
773 _ _ |a 10.3390/e23050517
|g Vol. 23, no. 5, p. 517 -
|0 PERI:(DE-600)2014734-X
|n 5
|p 517 -
|t Entropy
|v 23
|y 2021
|x 1099-4300
856 4 _ |u https://juser.fz-juelich.de/record/891975/files/Invoice_1177563.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/891975/files/entropy-23-00517-v2.pdf
909 C O |o oai:juser.fz-juelich.de:891975
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)173608
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)162277
913 0 _ |a DE-HGF
|b Energie
|l Technologie, Innovation und Gesellschaft
|1 G:(DE-HGF)POF3-150
|0 G:(DE-HGF)POF3-153
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-100
|4 G:(DE-HGF)POF
|v Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security
|x 0
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Energiesystemdesign (ESD)
|1 G:(DE-HGF)POF4-110
|0 G:(DE-HGF)POF4-111
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Energiesystemtransformation
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-03
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-09-03
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ENTROPY-SWITZ : 2018
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-09-03
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-03
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-03
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2020-09-03
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-09-03
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-03
920 1 _ |0 I:(DE-Juel1)IEK-STE-20101013
|k IEK-STE
|l Systemforschung und Technologische Entwicklung
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IEK-STE-20101013
980 _ _ |a APC
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21