Advanced Statistical Methods for Astrophysical Probes of Cosmology

Nonfiction, Science & Nature, Science, Physics, Cosmology, Astronomy
Cover of the book Advanced Statistical Methods for Astrophysical Probes of Cosmology by Marisa Cristina March, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marisa Cristina March ISBN: 9783642350603
Publisher: Springer Berlin Heidelberg Publication: January 13, 2013
Imprint: Springer Language: English
Author: Marisa Cristina March
ISBN: 9783642350603
Publisher: Springer Berlin Heidelberg
Publication: January 13, 2013
Imprint: Springer
Language: English

This 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This 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.

More books from Springer Berlin Heidelberg

Cover of the book Kognitive Verhaltenstherapie depressiven Grübelns by Marisa Cristina March
Cover of the book Gute Führung durch Yoga und Meditation by Marisa Cristina March
Cover of the book Patch Testing Tips by Marisa Cristina March
Cover of the book Descriptive Set Theoretic Methods in Automata Theory by Marisa Cristina March
Cover of the book Developing Grammars by Marisa Cristina March
Cover of the book Management und die Liebe by Marisa Cristina March
Cover of the book Spin Fluctuation Theory of Itinerant Electron Magnetism by Marisa Cristina March
Cover of the book Pädiatrie by Marisa Cristina March
Cover of the book From the Molecular World by Marisa Cristina March
Cover of the book Lehrbuch zur Experimentalphysik Band 3: Elektrizität und Magnetismus by Marisa Cristina March
Cover of the book Colour Atlas of Tropical Dermatology and Venerology by Marisa Cristina March
Cover of the book Sedimentary Facies Reconstruction and Kinematic Restoration of Tight Gas Fields by Marisa Cristina March
Cover of the book Microvascular Reconstruction by Marisa Cristina March
Cover of the book Atlas sportorthopädisch-sporttraumatologische Operationen by Marisa Cristina March
Cover of the book Ocular Infections by Marisa Cristina March
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy