BIG-SIR: a sliced inverse regression approach for massive data
type: Item
instance of: scholarly article
title: BIG-SIR: a sliced inverse regression approach for massive data
zbMATH Open document ID: 1405.62041
author: Jérôme Saracco
author: Benoit Liquet
published in: Statistics and Its Interface
publication date: 2018-05-08T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62-07
zbMATH DE Number: 6866957
zbMATH Keywords: high performance computing
zbMATH Keywords: effective dimension reduction (EDR)
zbMATH Keywords: parallel programming
zbMATH Keywords: \(\mathsf{R}\) software
zbMATH Keywords: sliced inverse regression (SIR)
describes a project that uses: R
describes a project that uses: Hadoop
describes a project that uses: bigmemory
describes a project that uses: biglm
describes a project that uses: bigvis
describes a project that uses: edrGraphicalTools
describes a project that uses: foreach
MaRDI profile type: Publication
DOI: 10.4310/SII.2016.V9.N4.A10
description: scientific article; zbMATH DE number 6866957