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710	2		_aSpringerLink (Online service) _9106996
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008			181124s2019 gw a o |||| 0|eng d
020			_a9783030042004
024	7		_a10.1007/978-3-030-04200-4 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aHB137 _b2019 EB
245	0	0	_aBeyond traditional probabilistic methods in economics _cedited by Vladik Kreinovich, Nguyen Ngoc Thach, Nguyen Duc Trung, Dang Van Thanh
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XIV, 1157 páginas) _b206 ilustraciones, 124 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Computational Intelligence _x1860-949X _v809
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
520	3		_aThis book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important - and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account. In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques. This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aEconomía matemática _9140530
650		7	_2embne _aEstadística económica _9405548
700	1		_aKreinovich, Vladik _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _998177
700	1		_aThach, Nguyen Ngoc. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTrung, Nguyen Duc. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVan Thanh, Dang. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030041991
776	0	8	_iPrinted edition: _z9783030042011
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-04200-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI