{"id":1274,"date":"2020-09-30T10:48:55","date_gmt":"2020-09-30T08:48:55","guid":{"rendered":"https:\/\/www.hsu-hh.de\/mathstat\/?page_id=1274"},"modified":"2026-04-09T11:35:08","modified_gmt":"2026-04-09T09:35:08","slug":"jahnmalte","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/mathstat\/mitarbeiter\/jahnmalte","title":{"rendered":"Prof. Dr. Malte Jahn"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Neue Website:<\/h2>\n\n\n\n<p>an der <a href=\"https:\/\/cemse.kaust.edu.sa\/profiles\/simon-nik\" rel='nofollow'>Hochschule Merseburg<\/a>, E-Mail: malte.jahn (at) hs-merseburg.de.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Publikationen (Fachzeitschriften):<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Jahn, M. (2025): <a href=\"http:\/\/doi.org\/10.1007\/978-3-031-96015-4_8\" rel='nofollow'>Discrete-Valued Time Series and Recurrent Neural Network Response Functions<\/a>. In: Steland, A., Rafaj\u0142owicz, E., Parolya, N. (eds) Stochastic Models, Statistics and Their Applications. SMSA 2024. Springer Proceedings in Mathematics &amp; Statistics, vol 499. Springer, Cham.<\/li>\n\n\n\n<li>Jahn, M.; Wei\u00df, C.H. (2025): <a href=\"http:\/\/doi.org\/10.1080\/02664763.2025.2575034\" rel='nofollow'>Modeling multivariate ordinal time series<\/a>. Journal of Applied Statistics, 1-28.<\/li>\n\n\n\n<li>Jahn, M. (2024): <a href=\"https:\/\/doi.org\/10.1016\/j.spasta.2023.100801\" rel='nofollow'>A flexible likelihood-based neural network extension of the classic spatio-temporal model<\/a>. Spatial Statistics 59, 100801.<\/li>\n\n\n\n<li>Jahn, M. (2024): <a href=\"https:\/\/doi.org\/10.1515\/snde-2022-0095\" rel='nofollow'>Artificial neural networks and time series of counts: A class of nonlinear INGARCH models<\/a>. Studies in Nonlinear Dynamics &amp; Econometrics 28(5), 761-765.<\/li>\n\n\n\n<li>Jahn, M.; Wei\u00df, C.H. (2023): <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00477-023-02591-1\" rel='nofollow'>Nonlinear GARCH-type models for ordinal time series<\/a>. Stochastic Environmental Research and Risk Assessment 38, 637-649.<\/li>\n\n\n\n<li>Jahn, M.; Wei\u00df, C.H.; Kim, H-Y. (2023): <a href=\"https:\/\/doi.org\/10.1093\/jrsssc\/qlad018\" rel='nofollow'>Approximately linear INGARCH models for spatio-temporal counts<\/a>. Journal of the Royal Statistical Society Series C: Applied Statistics 72(2), 476-497.<\/li>\n\n\n\n<li>Wei\u00df, C.H.; Jahn, M. (2022): <a href=\"https:\/\/doi.org\/10.1177\/1471082X221121223\" rel='nofollow'>Soft-clipping INGARCH models for time series of bounded counts<\/a>. Statistical Modelling 24(4), 295-319.<\/li>\n\n\n\n<li>Jahn, M. (2020):<a href=\"https:\/\/doi.org\/10.1016\/j.econmod.2020.06.008\" rel='nofollow'> Artificial neural network regression models in a panel setting: Predicting economic growth<\/a>, Economic Modelling 91, 148-154.<\/li>\n\n\n\n<li>Jahn, M.; Flegg, A.; Tohmo, T. (2020): <a href=\"https:\/\/doi.org\/10.1080\/17421772.2020.1720918\" rel='nofollow'>Testing and implementing a new approach to estimating interregional output multipliers using input\u2013output data for South Korean regions<\/a>, Spatial Economic Analysis 15(2), 165-185.<\/li>\n\n\n\n<li>Boll, C.; Jahn, M.; Lagemann, A. (2017): <a href=\"https:\/\/jid.journals.yorku.ca\/index.php\/jid\/article\/view\/40355\" rel='nofollow'>The gender lifetime earnings gap\u2014exploring gendered pay from the life course perspective<\/a>, Journal of Income Distribution 26(1), 1-53.<\/li>\n\n\n\n<li>Jahn, M. (2017): <a href=\"https:\/\/doi.org\/10.1080\/00343404.2016.1198471\" rel='nofollow'>Extending the FLQ formula: a location quotient-based interregional input\u2013output framework<\/a>, Regional Studies 51, 1518-1529.<\/li>\n\n\n\n<li>Jahn, M. (2015): <a href=\"https:\/\/doi.org\/10.1016\/j.wace.2015.08.005\" rel='nofollow'>Economics of extreme weather events: Terminology and regional impact models<\/a>, Weather and Climate Extremes, Volume 10, Part B, 29-39.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Lehrveranstaltungen:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><abbr title=\"Herbsttrimester\">HT<\/abbr> 25: Mathematik f\u00fcr WiWi (Vorlesung + \u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Wintertrimester\">WT<\/abbr> 25: Quantitative Methoden II (\u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Fr\u00fchjahrstrimester\">FT<\/abbr> 24: Quantitative Methoden III (Vorlesung)<\/li>\n\n\n\n<li><abbr title=\"Wintertrimester\">WT<\/abbr> 24: Quantitative Methoden II (Vorlesung)<\/li>\n\n\n\n<li><abbr title=\"Wintertrimester\">WT<\/abbr> 23: Quantitative Methoden II (\u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Herbsttrimester\">HT<\/abbr> 22: Statistical Computing (Vorlesung + \u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Fr\u00fchjahrstrimester\">FT<\/abbr> 22: Quantitative Methoden III (\u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Herbsttrimester\">HT<\/abbr> 21: Stochastik I f\u00fcr <abbr title=\"Wirtschaftsingenieurwesen\">WI<\/abbr> (Vorlesung)<\/li>\n\n\n\n<li><abbr title=\"Fr\u00fchjahrstrimester\">FT<\/abbr> 21: Stochastik II f\u00fcr <abbr title=\"Wirtschaftsingenieurwesen\">WI<\/abbr> (Vorlesung), Zeitreihenanalyse (\u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Wintertrimester\">WT<\/abbr> 21: Quantitative Methoden II (\u00dcbung)<\/li>\n\n\n\n<li><abbr title=\"Herbsttrimester\">HT<\/abbr> 20: Quantitative Methoden I (\u00dcbung)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Neue Website: an der Hochschule Merseburg, E-Mail: malte.jahn (at) hs-merseburg.de. Publikationen (Fachzeitschriften): Lehrveranstaltungen:<\/p>\n","protected":false},"author":98,"featured_media":0,"parent":120,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1274","page","type-page","status-publish","hentry","category-mitarbeiter"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/1274","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/users\/98"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/comments?post=1274"}],"version-history":[{"count":25,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/1274\/revisions"}],"predecessor-version":[{"id":2866,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/1274\/revisions\/2866"}],"up":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/120"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/media?parent=1274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/categories?post=1274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/tags?post=1274"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}