| 000 | 03007nam a22004695i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-2299-0 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083245.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120217s2012 xxu| s |||| 0|eng d | ||
| 020 |
_a9781461422990 _9978-1-4614-2299-0 |
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| 024 | 7 |
_a10.1007/978-1-4614-2299-0 _2doi |
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| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
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| 072 | 7 |
_aMAT029000 _2bisacsh |
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| 082 | 0 | 4 |
_a519.5 _223 |
| 100 | 1 |
_aHøjsgaard, Søren. _eauthor. |
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| 245 | 1 | 0 |
_aGraphical Models with R _h[electronic resource] / _cby Søren Højsgaard, David Edwards, Steffen Lauritzen. |
| 264 | 1 |
_aBoston, MA : _bSpringer US, _c2012. |
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| 300 |
_aIX, 182p. 112 illus., 24 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 | _aUse R! | |
| 505 | 0 | _aGraphs and Conditional Independence -- Log-Linear Models -- Bayesian Networks -- Gaussian Graphical Models -- Mixed Interaction Models -- Graphical Models for Complex Stochastic Systems -- High dimensional modelling -- References -- Index. | |
| 520 | _aGraphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data. Søren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University. David Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University. Steffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford. | ||
| 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 |
_aEdwards, David. _eauthor. |
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| 700 | 1 |
_aLauritzen, Steffen. _eauthor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9781461422983 |
| 830 | 0 | _aUse R! | |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4614-2299-0 |
| 912 | _aZDB-2-SMA | ||
| 999 |
_c101253 _d101253 |
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