{"id":191,"date":"2017-10-05T08:05:24","date_gmt":"2017-10-05T06:05:24","guid":{"rendered":"https:\/\/www.hsu-hh.de\/mathstat\/?page_id=191"},"modified":"2026-02-18T09:25:25","modified_gmt":"2026-02-18T08:25:25","slug":"aleksanb","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/mathstat\/mitarbeiter\/aleksanb","title":{"rendered":"Dr. rer. nat. Boris Aleksandrov"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Publikationen:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Aleksandrov et al. (2024)<\/strong><br>Aleksandrov, B., Wei\u00df, C.H., Nik, S., Faymonville, M., Jentsch, C.: Modelling and Diagnostic Tests for Poisson and Negative-binomial Count Time Series.<br><a href=\"https:\/\/link.springer.com\/journal\/184\/volumes-and-issues\/87-7\" rel='nofollow'>Metrika<\/a> 87(7), 843\u2013887, 2024.<\/li>\n\n\n\n<li><strong>Faymonville et al. (2023)<\/strong><br>Faymonville, M., Jentsch, C., Wei\u00df, C.H., Aleksandrov, B.: Semiparametric estimation of INAR models using roughness penalization.<br><a href=\"https:\/\/link.springer.com\/journal\/10260\/volumes-and-issues\/32-2\" rel='nofollow'>Statistical Methods and Applications<\/a> 32(2), pp. 365-400, 2023.<\/li>\n\n\n\n<li><strong>Wei\u00df et al. (2023)<\/strong><br>Wei\u00df, C.H., Puig, P., Aleksandrov, B.: Optimal Stein-type Goodness-of-Fit Tests for Count Data.<br><a href=\"https:\/\/onlinelibrary.wiley.com\/toc\/15214036\/2023\/65\/2\" rel='nofollow'>Biometrical Journal<\/a> 65(2), 2200073, 2023.<\/li>\n\n\n\n<li><strong>Wei\u00df et al. (2023)<\/strong><br>Wei\u00df, C.H., Aleksandrov, B., Faymonville, M., Jentsch, C.: Partial Autocorrelation Diagnostics for Count Time Series.<br><a href=\"https:\/\/www.mdpi.com\/1099-4300\/25\/1\" rel='nofollow'>Entropy<\/a> 25(1), 105, <a href=\"https:\/\/www.mdpi.com\/journal\/entropy\/special_issues\/Discrete_Valued_Time_Series\" rel='nofollow'>Special Issue &#8222;Discrete-Valued Time Series&#8220;<\/a>, 2023.<\/li>\n\n\n\n<li><strong>Aleksandrov et al. (2022)<\/strong><br>Aleksandrov, B., Wei\u00df, C.H., Jentsch, C., Faymonville, M.: Novel Goodness-of-Fit Tests for Binomial Count Time Series.<br><a href=\"https:\/\/www.tandfonline.com\/toc\/gsta20\/56\/5\" rel='nofollow'>Statistics<\/a> 56(5), pp. 957-990, 2022.<\/li>\n\n\n\n<li><strong>Wei\u00df &amp; Aleksandrov (2022)<\/strong><br>Wei\u00df, C.H., Aleksandrov, B.: Computing (Bivariate) Poisson Moments using Stein\u2013Chen Identities.<br><a href=\"https:\/\/www.tandfonline.com\/toc\/utas20\/76\/1\" rel='nofollow'>The American Statistician<\/a> 76(1), pp. 10-15, 2022.<\/li>\n\n\n\n<li><strong>Aleksandrov, Wei\u00df, Jentsch (2022)<\/strong><br>Aleksandrov, B., Wei\u00df, C.H., Jentsch, C.: Goodness-of-Fit Tests for Poisson Count Time Series based on the Stein-Chen Identity.<br><a href=\"https:\/\/onlinelibrary.wiley.com\/toc\/14679574\/2022\/76\/1\" rel='nofollow'>Statistica Neerlandica<\/a>, 76(1), pp. 35-64, 2022.<\/li>\n\n\n\n<li><strong>Aleksandrov &amp; Wei\u00df (2020)<\/strong><br>Aleksandrov, B., Wei\u00df, C.H.: <a href=\"https:\/\/link.springer.com\/journal\/10182\/onlineFirst\" rel='nofollow'>Testing the Dispersion Structure of Count Time Series Using Pearson Residuals.<\/a><br>AStA Advances in Statistical Analysis 104(3), pp. 325-361, 2020<\/li>\n\n\n\n<li><strong>Wei\u00df, Scherer, Aleksandrov, Feld (2020)<\/strong><br>Wei\u00df, C.H., Scherer, L., Aleksandrov, B., Feld, M.H.-J.M.: <a href=\"https:\/\/www.degruyter.com\/journal\/key\/JTSE\/12\/1\/html\" rel='nofollow'>Checking Model Adequacy for Count Time Series by Using Pearson Residuals.<\/a><br>Journal of Time Series Econometrics 12(1), 20180018, 2020<\/li>\n\n\n\n<li><strong>Aleksandrov &amp; Wei\u00df (2020)<\/strong><br>Aleksandrov , B. &amp;&nbsp; Wei\u00df, C.H., <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11749-019-00653-7?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst&amp;utm_source=ArticleAuthorOnlineFirst&amp;utm_medium=email&amp;utm_content=AA_en_06082018&amp;ArticleAuthorOnlineFirst_20190402\" rel='nofollow'>Parameter estimation and diagnostic tests for INMA(1) processes.<\/a><br>TEST (An Official Journal of the Spanish Society of Statistics and Operations Research) 29(1), pp. 196-232, 2020<\/li>\n\n\n\n<li><strong>Aleksandrov (2019)<\/strong><br>Aleksandrov, B., <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-28665-1_19\" rel='nofollow'>A Negative-Binomial Index Considering Dispersion and Zero Probability<\/a>.<br>Published for the conference book, &#8217;14th Workshop on Stochastic Models, Statistics and their Application; SMSA 2019&#8242;, 2019.<\/li>\n\n\n\n<li><strong>Wei\u00df, C.H., Aleksandrov, B. (2019)<\/strong><br>Wei\u00df, C.H., Aleksandrov, B., <a href=\"https:\/\/link.springer.com\/journal\/42519\/13\/2\" rel='nofollow'>Model diagnostics for Poisson INARMA processes using bivariate dispersion indexes.&nbsp;<\/a> Journal of Statistical Theory and Practice, 2019.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Vortr\u00e4ge:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pearson residuals<\/strong> for checking conditional dispersion in count time series (15. Doktorandentreffen Stochastik)<\/li>\n\n\n\n<li>Checking <strong>Model Adequacy<\/strong> for Count Time Series by Using <strong>Pearson Residuals<\/strong> (The 14th Workshop on Stochastic Models, Statistics and their Application <strong>(SMSA)<\/strong> ,March 6th to 8th, 2019 at <strong><abbr title=\"Technische Universit\u00e4t\">TU<\/abbr> Dresden<\/strong>.)<\/li>\n\n\n\n<li>Parameter Estimation and Diagnostic Tests for <strong>INMA(1) Processes<\/strong> (13th German Probability and Statistics Days 2018 \u2013 <strong>Freiburger<\/strong> Stochastik-Tage)<\/li>\n\n\n\n<li><strong>Goodness-of-Fit<\/strong> Tests for Poisson Count Time Series based on the<strong>Stein\u2013Chen Identity<\/strong> (Doktorandentreffen LMU dts 2021)<\/li>\n\n\n\n<li>Novel <strong>Goodness-of-Fit<\/strong> Tests for <strong>Binomial<\/strong> Count Time Series (<strong>GPSD<\/strong> Mannheim 2021)<\/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>\u00dcbung Quantitative Methoden II (<abbr title=\"Wintertrimester\">WT<\/abbr> 2020)<\/li>\n\n\n\n<li>\u00dcbung Quantitative Methoden I (<abbr title=\"Herbsttrimester\">HT<\/abbr> 2019)<\/li>\n\n\n\n<li>\u00dcbung Statistik II (<abbr title=\"Fr\u00fchjahrstrimester\">FT<\/abbr> 2019)<\/li>\n\n\n\n<li>\u00dcbung Statistik I (<abbr title=\"Wintertrimester\">WT<\/abbr> 2019)<\/li>\n\n\n\n<li>\u00dcbung zur Mathematik f\u00fcr Wirtschaftswissenschaftler ( <abbr title=\"Herbsttrimester\">HT<\/abbr> 2018)<\/li>\n\n\n\n<li>\u00dcbung zur Statistik f\u00fcr Politologen ( <abbr title=\"Fr\u00fchjahrstrimester\">FT<\/abbr> 2018)<\/li>\n\n\n\n<li>\u00dcbung zur Zeitreihenanalyse ( <abbr title=\"Fr\u00fchjahrstrimester\">FT<\/abbr> 2018)<\/li>\n\n\n\n<li>\u00dcbung zur Fortgeschrittenen Mathematik f\u00fcr \u00d6konomen ( <abbr title=\"Wintertrimester\">WT<\/abbr> 2018)<\/li>\n\n\n\n<li>Vorkurs Mathematik f\u00fcr Wirtschaftswissenschaftler ( <abbr title=\"Herbsttrimester\">HT<\/abbr> 2017)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Workshops attended:<\/h2>\n\n\n\n<p>Modern Topics in Time Series Analysis (2019) Sep 9th &#8211; Sep 13th in Bielefeld, Germany.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Publikationen: Vortr\u00e4ge: Lehrveranstaltungen: Workshops attended: Modern Topics in Time Series Analysis (2019) Sep 9th &#8211; Sep 13th in Bielefeld, Germany.<\/p>\n","protected":false},"author":98,"featured_media":0,"parent":120,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-191","page","type-page","status-publish","hentry","category-mitarbeiter"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/191","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=191"}],"version-history":[{"count":51,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/191\/revisions"}],"predecessor-version":[{"id":2819,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/pages\/191\/revisions\/2819"}],"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=191"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/categories?post=191"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/mathstat\/wp-json\/wp\/v2\/tags?post=191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}