Krivobokova, Tatyana

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Studies in Nonlinear Dynamics & Econometrics"],["dc.bibliographiccitation.lastpage","28"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Kauermann, Göran"],["dc.contributor.author","Krivobokova, Tatyana"],["dc.contributor.author","Semmler, Willi"],["dc.date.accessioned","2017-09-07T11:50:08Z"],["dc.date.available","2017-09-07T11:50:08Z"],["dc.date.issued","2011"],["dc.description.abstract","The decomposition and filtering of time series is an important issue in economics and econometrics and related fields. Even though there are numerous competing methods on the market, in applications one often meets one of the few favorites, like the Hodrick-Prescott filter or the bandpass filter.In this paper, we suggest to employ penalized splines fitting for detrending. The approach allows to take correlation of the residuals into account and provides a data driven setting of the smoothing parameter, none of which the classical filters allow. We show the simplicity of the penalized spline filter using the open source software R and demonstrate differences and features with numerous data examples."],["dc.identifier.doi","10.2202/1558-3708.1789"],["dc.identifier.gro","3145856"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8655"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/3586"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1558-3708"],["dc.relation.orgunit","Fakultät für Mathematik und Informatik"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Filtering Time Series with Penalized Splines"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","786"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Biophysical Journal"],["dc.bibliographiccitation.lastpage","796"],["dc.bibliographiccitation.volume","103"],["dc.contributor.author","Krivobokova, Tatyana"],["dc.contributor.author","Briones, Rodolfo"],["dc.contributor.author","Hub, Jochen S."],["dc.contributor.author","Munk, Axel"],["dc.contributor.author","Groot, Bert L. de"],["dc.date.accessioned","2017-09-07T11:48:27Z"],["dc.date.available","2017-09-07T11:48:27Z"],["dc.date.issued","2012"],["dc.description.abstract","We introduce an approach based on the recently introduced functional mode analysis to identify collective modes of internal dynamics that maximally correlate to an external order parameter of functional interest. Input structural data can be either experimentally determined structure ensembles or simulated ensembles, such as molecular dynamics trajectories. Partial least-squares regression is shown to yield a robust solution to the multidimensional optimization problem, with a minimal and controllable risk of overfitting, as shown by extensive cross-validation. Several examples illustrate that the partial least-squares-based functional mode analysis successfully reveals the collective dynamics underlying the fluctuations in selected functional order parameters. Applications to T4 lysozyme, the Trp-cage, the aquaporin channels Aqy1 and hAQP1, and the CLC-ec1 chloride antiporter are presented in which the active site geometry, the hydrophobic solvent-accessible surface, channel gating dynamics, water permeability (p(f)), and a dihedral angle are defined as functional order parameters. The Aqy1 case reveals a gating mechanism that connects the inner channel gating residues with the protein surface, thereby providing an explanation of how the membrane may affect the channel. hAQP1 shows how the p(f) correlates with structural changes around the aromatic/arginine region of the pore. The CLC-ec1 application shows how local motions of the gating Glu(148) couple to a collective motion that affects ion affinity in the pore."],["dc.identifier.doi","10.1016/j.bpj.2012.07.022"],["dc.identifier.gro","3142477"],["dc.identifier.isi","000307799100018"],["dc.identifier.pmid","22947940"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10646"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8718"],["dc.language.iso","en"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","0006-3495"],["dc.relation.orgunit","Fakultät für Mathematik und Informatik"],["dc.rights","CC BY-NC 2.0"],["dc.rights.uri","http://creativecommons.org/licenses/by-nc/2.0/"],["dc.title","Partial Least-Squares Functional Mode Analysis: Application to the Membrane Proteins AQP1, Aqy1, and CLC-ec1"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4391"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Electronic Journal of Statistics"],["dc.bibliographiccitation.lastpage","4415"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Dunker, Fabian"],["dc.contributor.author","Klasen, Stephan"],["dc.contributor.author","Krivobokova, Tatyana"],["dc.date.accessioned","2020-12-10T18:41:49Z"],["dc.date.available","2020-12-10T18:41:49Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1214/19-EJS1628"],["dc.identifier.eissn","1935-7524"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17153"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77690"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Asymptotic Distribution and Simultaneous Confidence Bands for Ratios of Quantile Functions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]