Cargando…
Making the cut: improved ranking and selection for large‐scale inference
Identifying leading measurement units from a large collection is a common inference task in various domains of large‐scale inference. Testing approaches, which measure evidence against a null hypothesis rather than effect magnitude, tend to overpopulate lists of leading units with those associated w...
Autores principales: | Henderson, Nicholas C., Newton, Michael A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996506/ https://www.ncbi.nlm.nih.gov/pubmed/27570475 http://dx.doi.org/10.1111/rssb.12131 |
Ejemplares similares
-
Remarkable properties for diagnostics and inference of ranking data modelling
por: Mollica, Cristina, et al.
Publicado: (2022) -
Bayesian inference for low-rank Ising networks
por: Marsman, Maarten, et al.
Publicado: (2015) -
Improving large‐scale estimation and inference for profiling health care providers
por: Wu, Wenbo, et al.
Publicado: (2022) -
IBM cuts cost of large-scale storage
por: Rogers, J
Publicado: (2003) -
Bayesian Inference of Natural Rankings in Incomplete Competition Networks
por: Park, Juyong, et al.
Publicado: (2014)