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 Applications and Markets for Cooperating Objects by Marisa Cristina March
Cover of the book Ärztliche Großpraxis by Marisa Cristina March
Cover of the book Genetic Diseases of the Skin by Marisa Cristina March
Cover of the book Small Molecules in Oncology by Marisa Cristina March
Cover of the book Industrial Air Pollution by Marisa Cristina March
Cover of the book Projektmanagement am Rande des Chaos by Marisa Cristina March
Cover of the book Syringomyelia by Marisa Cristina March
Cover of the book Pediatric Surgical Oncology by Marisa Cristina March
Cover of the book Bone Regeneration with Bone Substitutes by Marisa Cristina March
Cover of the book Near-Space Remote Sensing by Marisa Cristina March
Cover of the book Innovative Biofibers from Renewable Resources by Marisa Cristina March
Cover of the book Predictably Rational? by Marisa Cristina March
Cover of the book Human Papillomavirus by Marisa Cristina March
Cover of the book The Decubitus Ulcer in Clinical Practice by Marisa Cristina March
Cover of the book Seismic Wave Propagation and Scattering in the Heterogeneous Earth : Second Edition 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