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| 003 | RU-ToGU | ||
| 005 | 20210922070144.0 | ||
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| 008 | 140715s2013 gw | s |||| 0|eng d | ||
| 020 |
_a9783642350603 _9978-3-642-35060-3 |
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| 024 | 7 |
_a10.1007/978-3-642-35060-3 _2doi |
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| 035 | _ato000484578 | ||
| 040 |
_aSpringer _cSpringer _dRU-ToGU |
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| 050 | 4 | _aQB980-991 | |
| 072 | 7 |
_aPHR _2bicssc |
|
| 072 | 7 |
_aSCI015000 _2bisacsh |
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| 082 | 0 | 4 |
_a523.1 _223 |
| 100 | 1 |
_aMarch, Marisa Cristina. _eauthor. _9416640 |
|
| 245 | 1 | 0 |
_aAdvanced Statistical Methods for Astrophysical Probes of Cosmology _helectronic resource _cby Marisa Cristina March. |
| 260 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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| 300 |
_aXX, 177 p. 46 illus., 11 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 |
||
| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
| 505 | 0 | _aIntroduction -- Cosmology background -- Dark energy and apparent late time acceleration -- Supernovae Ia -- Statistical techniques -- Bayesian Doubt: Should we doubt the Cosmological Constant? -- Bayesian parameter inference for SNeIa data -- Robustness to Systematic Error for Future Dark Energy Probes -- Summary and Conclusions -- Index. | |
| 520 | _aThis thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which addresses this problem and seeks to deliver an absolute rather than a relative measure of how good a model is. Supernovae type Ia were the first astrophysical observations to indicate the late time acceleration of the Universe - this work presents a detailed Bayesian Hierarchical Model to infer the cosmological parameters (in particular dark energy) from observations of these supernovae type Ia. | ||
| 650 | 0 |
_aphysics. _9566227 |
|
| 650 | 1 | 4 |
_aPhysics. _9566228 |
| 650 | 2 | 4 |
_aCosmology. _9410497 |
| 650 | 2 | 4 |
_aAstronomy, Observations and Techniques. _9191714 |
| 650 | 2 | 4 |
_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _9410653 |
| 650 | 2 | 4 |
_aStatistical Physics, Dynamical Systems and Complexity. _9410505 |
| 710 | 2 |
_aSpringerLink (Online service) _9143950 |
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| 773 | 0 | _tSpringer eBooks | |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _9567110 |
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| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-35060-3 |
| 912 | _aZDB-2-PHA | ||
| 999 | _c357964 | ||