Bayesian sample size determination for multi-site replication studies

Autor: Bourazas, Konstantinos, Consonni, Guido, Deldossi, Laura

An ongoing "reproducibility crisis" calls into question scientific discoveries across a variety of disciplines ranging from life to social sciences. Replication studies aim to investigate the validity of findings in published research, and try to ass

Externí odkaz: http://arxiv.org/abs/2305.04064

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Optimal subset selection without outliers

Autor: Deldossi, Laura, Pesce, E., Tommasi, C.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2601::de11ac1495563e84d79fc98acf3a4ab0
http://hdl.handle.net/10807/214433

Optimal subsample selection in big datasets

Autor: Tommasi, Chiara, Deldossi, Laura

Publikováno v: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 323 /20210226/

Big Data are a huge quantity of data that usually are automatically accrued. To achive inferential goals might be computationally difficult due to their large dimension; from here, the idea of selecting a subsample of the Big Dataset. To accomplish t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff00c3a1fcd1ac5578d50580ac1f951c
http://www.egms.de/en/meetings/gmds2020/20gmds004.shtml

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