Principles of Experimental Design for Big Data Analysis.

Drovandi, Christopher C; Holmes, Christopher; McGree, James M; Mengersen, Kerrie; Richardson, Sylvia; Ryan, Elizabeth G

Drovandi, Christopher C; Holmes, Christopher; McGree, James M; Mengersen, Kerrie; Richardson, Sylvia; Ryan, Elizabeth G.

Afiliación

Drovandi CC; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia, 4000.
Holmes C; Department of Statistics, University of Oxford, Oxford, UK, OX1 3TG.
McGree JM; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia, 4000.
Mengersen K; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia, 4000.
Richardson S; MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, UK, CB2 0SR.
Ryan EG; Biostatistics Department, King's College London, UK, SE5 8AF.

Stat Sci ; 32(3): 385-404, 2017 Aug.

Article en En | MEDLINE | ID: mdl-28883686

Palabras clave

active learning; big data; dimension reduction; experimental design; sub-sampling

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Stat Sci Año: 2017 Tipo del documento: Article

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google