{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:51:13Z","timestamp":1767340273983,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Strategic Research Projects from the Research Organization of Information and Systems through the Project \u201cThe Statistical and Mathematical Modeling for Plasma Physics and Complementary Plasma Data,\u201d","award":["2022-SRP-13"],"award-info":[{"award-number":["2022-SRP-13"]}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","doi-asserted-by":"publisher","award":["21K17718","22H05106"],"award-info":[{"award-number":["21K17718","22H05106"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency (JST) Precursory Research for Embryonic Science and Technology","doi-asserted-by":"publisher","award":["JPMJPR212A"],"award-info":[{"award-number":["JPMJPR212A"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"JSPS KAKENHI","doi-asserted-by":"publisher","award":["22K13979","23H03460"],"award-info":[{"award-number":["22K13979","23H03460"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001863","name":"New Energy and Industrial Technology Development Organization","doi-asserted-by":"publisher","award":["JPNP22100843-0"],"award-info":[{"award-number":["JPNP22100843-0"]}],"id":[{"id":"10.13039\/501100001863","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3365724","type":"journal-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T23:56:44Z","timestamp":1707868604000},"page":"24621-24630","source":"Crossref","is-referenced-by-count":1,"title":["Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9621-8853","authenticated-orcid":false,"given":"Akifumi","family":"Okuno","sequence":"first","affiliation":[{"name":"School of Statistical Thinking, The Institute of Statistical Mathematics, Tachikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuya","family":"Morishita","sequence":"additional","affiliation":[{"name":"Department of Nuclear Engineering, Kyoto University, Kyoto, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoh-Ichi","family":"Mototake","sequence":"additional","affiliation":[{"name":"Graduate School of Social and Data Sciences, Hitotsubashi University, Kunitachi, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1063\/1.4823332"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-2782-1"},{"volume-title":"Deep Learning","year":"2016","author":"Goodfellow","key":"ref3"},{"article-title":"The \u2018echo state\u2019: Approach to analysing and training recurrent neural networks","year":"2001","author":"Jaeger","key":"ref4"},{"key":"ref5","first-page":"609","article-title":"Adaptive nonlinear system identification with echo state networks","volume-title":"Advances in Neural Information Processing Systems","author":"Jaeger","year":"2002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.03.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-07210-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2022.111022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123537"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.45.712"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1063\/1.882006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0091924"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1063\/5.0066080"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1063\/5.0019309"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2022.133630"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1115\/1.4056106"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.7027"},{"key":"ref19","article-title":"Neural ordinary differential equations","volume-title":"Advances in Neural Information Processing Systems","volume":"31","author":"Chen","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0469(1963)020<0130:dnf>2.0.co;2"},{"volume-title":"Time Series Techniques for Economists","year":"1990","author":"Mills","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1515\/9780691218632"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6544\/ab8fb8"},{"volume-title":"The Matrix Cookbook","year":"2012","author":"Petersen","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1115\/1.3658902"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177699147"},{"article-title":"Parameter estimation for linear dynamical systems","year":"1996","author":"Ghahramani","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1054010"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1120.003.0079"},{"key":"ref31","first-page":"446","article-title":"\u2018Weierstrass\u2019s theorem on approximation by polynomials\u2019 and \u2018extension of Weierstrass\u2019s approximation theory","volume-title":"Methods of Mathematical Physics","author":"Jeffreys","year":"1988"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10433494.pdf?arnumber=10433494","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T22:35:09Z","timestamp":1709246109000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10433494\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3365724","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}