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BIG-SIR: a sliced inverse regression approach for massive data

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Publication:1747611
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DOI10.4310/SII.2016.v9.n4.a10zbMath1405.62041MaRDI QIDQ1747611

Jérôme Saracco, Bernoît Liquet

Publication date: 8 May 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)


zbMATH Keywords

parallel programminghigh performance computingsliced inverse regression (SIR)\(\mathsf{R}\) softwareeffective dimension reduction (EDR)


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (4)

Distributed estimation in heterogeneous reduced rank regression: with application to order determination in sufficient dimension reduction ⋮ Quantile regression for massive data with network-induced dependence, and application to the New York statewide planning and research cooperative system ⋮ Central subspaces review: methods and applications ⋮ Model checking for parametric single-index models with massive datasets


Uses Software

  • R
  • biglm
  • foreach
  • Hadoop
  • edrGraphicalTools
  • bigmemory
  • bigvis



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