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pro vyhledávání: '"Braumann, Alexander"'
Vaccinations against the virus SARS-CoV-2 have proven to be most effective against a severe corona disease. However, a significant minority of people is still critical of such a vaccination or even strictly reject it. One but surely not the only reas
Externí odkaz:
http://arxiv.org/abs/2203.08419
We investigate the problem of estimating the distribution of the individual reproduction number governing the COVID-19 pandemic. Under the assumption that this random variable follows a Negative Binomial distribution, we focus on constructing estimat
Externí odkaz:
http://arxiv.org/abs/2101.07919
Autor:
Funovits, Bernd, Braumann, Alexander
We generalize well-known results on structural identifiability of vector autoregressive models (VAR) to the case where the innovation covariance matrix has reduced rank. Structural singular VAR models appear, for example, as solutions of rational exp
Externí odkaz:
http://arxiv.org/abs/1910.04096
Publikováno v:
In IFAC PapersOnLine 2018 51(15):1008-1013
Autor:
Braumann, Alexander1 (AUTHOR), Kreiss, Jens‐Peter1 (AUTHOR) j.kreiss@tu-bs.de, Meyer, Marco1 (AUTHOR)
Publikováno v:
Journal of Time Series Analysis. Sep2021, Vol. 42 Issue 5/6, p534-553. 20p.
Autor:
Funovits, Bernd1,2 (AUTHOR) bernd.funovits@helsinki.fi, Braumann, Alexander3 (AUTHOR)
Publikováno v:
Journal of Time Series Analysis. Jul2021, Vol. 42 Issue 4, p431-441. 11p.
Autor:
Braumann, Alexander
Verallgemeinerte lineare dynamische Faktormodelle (GDFM's) dienen der Analyse hoch-dimensionaler Zeitreihen, wo die Anzahl der einzelnen Zeitreihen relativ groß im Verhältnis zur Stichprobengröße ist. Sie wurden in Forni et al. (2000), Forni und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5038bc02e5acc209c8954dfc45918e84