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[{"key": "dc.contributor.author", "value": "Helske, Jouni", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2016-03-11T10:48:18Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2016-03-11T10:48:18Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2015", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1524457", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/49043", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description", "value": "Artikkeliv\u00e4it\u00f6skirja. Sis\u00e4lt\u00e4\u00e4 yhteenveto-osan ja nelj\u00e4 artikkelia.", "language": "fi", "element": "description", "qualifier": null, "schema": "dc"}, {"key": "dc.description", "value": "Article dissertation. Contains an introduction part and four articles.", "language": "en", "element": "description", "qualifier": null, "schema": "dc"}, {"key": "dc.description.abstract", "value": "A large amount of data collected today is in the form of a time series. In order to make realistic\r\ninferences based on time series forecasts, in addition to point predictions, prediction intervals\r\nor other measures of uncertainty should be presented. Multiple sources of uncertainty are often\r\nignored due to the complexities involved in accounting them correctly. In this dissertation,\r\nsome of these problems are reviewed and some new solutions are presented. A state space\r\napproach is also advocated for an e cient and \r\nexible framework for time series forecasting,\r\nwhich can be used for combining multiple types of traditional time series and other models.", "language": "", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Marja-Leena Harjuniemi (mharjuni@jyu.fi) on 2016-03-11T10:48:18Z\r\nNo. of bitstreams: 1\r\nThesisJouniHelske.pdf: 1847952 bytes, checksum: a00cc32e20df5cc097bcfe72d11e217f (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2016-03-11T10:48:18Z (GMT). No. of bitstreams: 1\r\nThesisJouniHelske.pdf: 1847952 bytes, checksum: a00cc32e20df5cc097bcfe72d11e217f (MD5)\r\n Previous issue date: 2015", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Item withdrawn by Marja-Leena Harjuniemi (mharjuni@jyu.fi) on 2016-03-11T13:05:40Z\r\nItem was in collections:\r\nMatematiikan ja tilastotieteen laitos (ID: 789)\r\nNo. of bitstreams: 1\r\nThesisJouniHelske.pdf: 1847952 bytes, checksum: a00cc32e20df5cc097bcfe72d11e217f (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Item reinstated by Marja-Leena Harjuniemi (mharjuni@jyu.fi) on 2016-03-14T06:04:09Z\r\nItem was in collections:\r\nMatematiikan ja tilastotieteen laitos (ID: 789)\r\nNo. of bitstreams: 1\r\nThesisJouniHelske.pdf: 1427885 bytes, checksum: 3256d099eb0c7fdede023bc81d61f82a (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "Verkkoaineisto (28, [57] sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.publisher", "value": "University of Jyv\u00e4skyl\u00e4", "language": null, "element": "publisher", "qualifier": null, "schema": "dc"}, {"key": "dc.relation.ispartofseries", "value": "Report / University of Jyv\u00e4skyl\u00e4. Department of Mathematics and Statistics", "language": null, "element": "relation", "qualifier": "ispartofseries", "schema": "dc"}, {"key": "dc.relation.haspart", "value": "<b>Article I:</b> Helske, J., & Nyblom, J. (2015). Improved Frequentist Prediction Intervals for Autoregressive Models by Simulation. In S. J. Koopman, & N. Shephard (Eds.), <I>Unobserved Components and Time Series Econometrics</I> (pp. 291-309). Oxford University Press.", "language": "", "element": "relation", "qualifier": "haspart", "schema": "dc"}, {"key": "dc.relation.haspart", "value": "<b>Article II:</b> Helske, J. and Nyblom, J. (2014). Improved frequentist prediction intervals for ARMA\r\nmodels by simulation. In Knif, J. and Pape, B., editors, <I>Contributions to Mathematics,\r\nStatistics, Econometrics, and Finance: Essays in Honour of Professor Seppo Pynn\u00f6nen</I>, (pp. 71-86). Acta Wasaensia, 296. Vaasa: Vaasan Yliopisto.", "language": "", "element": "relation", "qualifier": "haspart", "schema": "dc"}, {"key": "dc.relation.haspart", "value": "<b>Article III:</b> Helske, J., Nyblom, J., Ekholm, P., & Meissner, K. (2013). Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models. <I>Environmetrics</I>, 24 (4), 237-247. doi:10.1002/env.2204", "language": "", "element": "relation", "qualifier": "haspart", "schema": "dc"}, {"key": "dc.relation.haspart", "value": "<b>Article IV:</b> Helske, J. (2015). KFAS: Exponential family state space models in R. (Submitted; not available online)", "language": "", "element": "relation", "qualifier": "haspart", "schema": "dc"}, {"key": "dc.relation.isversionof", "value": "Julkaistu my\u00f6s painettuna.", "language": null, "element": "relation", "qualifier": "isversionof", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "Time-series analysis", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Prediction theory", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Interpolation", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "tila-avaruusmallit", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "time series", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "prediction", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "forecasting", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "uncertainty", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "state space models", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Prediction and interpolation of time series by state space models", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "doctoral thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201603111829", "language": null, 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