000			03650nam a22005175i 4500
001			978-88-470-2871-5
003			DE-He213
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007			cr nn 008mamaa
008			130125s2013 it | s |||| 0|eng d
020			_a9788847028715 _9978-88-470-2871-5
024	7		_a10.1007/978-88-470-2871-5 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aGrigoletto, Matteo. _eeditor.
245	1	0	_aComplex Models and Computational Methods in Statistics _h[electronic resource] / _cedited by Matteo Grigoletto, Francesco Lisi, Sonia Petrone.
264		1	_aMilano : _bSpringer Milan : _bImprint: Springer, _c2013.
300			_aVIII, 227 p. 49 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aContributions to Statistics, _x1431-1968
505	0		_aA new unsupervised classification technique through nonlinear non parametric mixed effects models -- Estimation approaches for the apparent diffusion coefficient in Rice-distributed MR signals -- Longitudinal patterns of financial product ownership: a latent growth mixture approach -- Computationally efficient inference procedures for vast dimensional realized covariance models -- A GPU software library for likelihood-based inference of environmental models with large datasets -- Theoretical Regression Trees: a tool for multiple structural-change models analysis -- Some contributions to the theory of conditional Gibbs partitions -- Estimation of traffic matrices for LRD traffic -- A Newton's method for benchmarking time series -- Spatial smoothing for data distributed over non-planar domains -- Volatility swings in the US financial markets -- Semicontinuous regression models with skew distributions -- Classification of multivariate linear-circular data with nonignorable missing values -- Multidimensional connected set detection in clustering based on nonparametric density estimation -- Using integrated nested Laplace approximations for modelling spatial healthcare utilization -- Supply function prediction in electricity auctions -- A hierarchical bayesian model for RNA-Seq data.
520			_aThe use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented. As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.
650		0	_aStatistics.
650		0	_aStatistical methods.
650		0	_aMathematical statistics.
650		0	_aEconomics.
650	1	4	_aStatistics.
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aMathematics in the Humanities and Social Sciences.
650	2	4	_aEconomics/Management Science, general.
650	2	4	_aBiostatistics.
700	1		_aLisi, Francesco. _eeditor.
700	1		_aPetrone, Sonia. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9788847028708
830		0	_aContributions to Statistics, _x1431-1968
856	4	0	_uhttp://dx.doi.org/10.1007/978-88-470-2871-5
912			_aZDB-2-SMA
999			_c99257 _d99257