The Wasserstein Impact Measure (WIM): a generally applicable, practical tool for quantifying prior impact in Bayesian statistics

Autor: Ghaderinezhad, Fatemeh, Ley, Christophe, Serrien, Ben

The prior distribution is a crucial building block in Bayesian analysis, and its choice will impact the subsequent inference. It is therefore important to have a convenient way to quantify this impact, as such a measure of prior impact will help us t

Externí odkaz: http://arxiv.org/abs/2010.12522

The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics

Autor: Ghaderinezhad, Fatemeh, Ley, Christophe, Serrien, Ben

Publikováno v: In Computational Statistics and Data Analysis October 2022 174

Impact of COVID-19 on the Belgian HIV epidemic: slowdown of HIV transmission and testing and adaptation of care.

Autor: Van Beckhoven, Dominique^1,2 (AUTHOR) dominique.vanbeckhoven@sciensano.be, Serrien, Ben¹ (AUTHOR), Montourcy, Marion¹ (AUTHOR), Verhofstede, Chris³ (AUTHOR), Van den Bossche, Dorien⁴ (AUTHOR), Libois, Agnes⁵ (AUTHOR), De Geyter, Deborah⁶ (AUTHOR), Martin, Thierry⁷ (AUTHOR), Van den Eynde, Sandra⁸ (AUTHOR), Vuylsteke, Bea⁹ (AUTHOR), Darcis, Gilles¹⁰ (AUTHOR), van Halem, Karlijn¹¹ (AUTHOR), Florence, Eric⁴ (AUTHOR), Deblonde, Jessika¹ (AUTHOR), Belgian Research on AIDS and HIV Consortium (BREACH) (AUTHOR), Ausselet, Nathalie (AUTHOR), Delforge, Marie-Luce (AUTHOR), Demeester, Rémy (AUTHOR), De Munter, Paul (AUTHOR), Goffard, Jean-Christophe (AUTHOR)

Publikováno v: BMC Infectious Diseases. 12/3/2022, Vol. 22 Issue 1, p1-9. 9p.

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Whole body coordination patterning in volleyball spikes under various task constraints: exploratory cluster analysis based on self-organising maps.

Autor: Sarvestan, Javad, Svoboda, Zdenek, Baeyens, Jean-Pierre, Serrien, Ben

Publikováno v: Sports Biomechanics; Sep2023, Vol. 22 Issue 9, p1153-1167, 15p