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001 978-1-4614-8283-3
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005 20140220082831.0
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008 131017s2013 xxu| s |||| 0|eng d
020 _a9781461482833
_9978-1-4614-8283-3
024 7 _a10.1007/978-1-4614-8283-3
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aAbdi, Herve.
_eeditor.
245 1 0 _aNew Perspectives in Partial Least Squares and Related Methods
_h[electronic resource] /
_cedited by Herve Abdi, Wynne W. Chin, Vincenzo Esposito Vinzi, Giorgio Russolillo, Laura Trinchera.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXXIII, 344 p. 96 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v56
505 0 _aKeynotes -- Large Datasets and Genomics -- Brain Imaging -- Multiblock Data Modeling.
520 _aNew Perspectives in Partial Least Squares and Related Methods shares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series of PLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes expanded as projection to latent structures. This is an approach for modeling relations between data matrices of different types of variables measured on the same set of objects. The twenty-two papers in this volume, which include three invited contributions from our keynote speakers, provide a comprehensive overview of the current state of the most advanced research related to PLS and related methods. Prominent scientists from around the world took part in PLS 2012 and their contributions covered the multiple dimensions of the partial least squares-based methods. These exciting theoretical developments ranged from partial least squares regression and correlation, component based path modeling to regularized regression and subspace visualization. In following the tradition of the six previous PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selection, sparse PLS regression, distance based PLS, significance vs. reliability, and non-linear PLS. Finally, these contributions applied PLS methods to data originating from the traditional econometric/economic data to genomics data, brain images, information systems, epidemiology, and chemical spectroscopy. Such a broad and comprehensive volume will also encourage new uses of PLS models in work by researchers and students in many fields.
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aStatistics, general.
700 1 _aChin, Wynne W.
_eeditor.
700 1 _aEsposito Vinzi, Vincenzo.
_eeditor.
700 1 _aRussolillo, Giorgio.
_eeditor.
700 1 _aTrinchera, Laura.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461482826
830 0 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v56
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-8283-3
912 _aZDB-2-SMA
999 _c96042
_d96042