Posted by **interes** at Nov. 24, 2014

English | 2011 | ISBN: 143983878X | 487 pages | PDF | 3,7 MB

Posted by **interes** at Nov. 12, 2013

English | 2011 | ISBN: 143983878X | 487 pages | PDF | 3,7 MB

Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies.

Posted by **arundhati** at Sept. 18, 2016

2008 | ISBN-10: 0471920835 | 329 pages | PDF | 1 MB

Posted by **DZ123** at April 6, 2016

English | 2014 | ISBN: 1118637550 | PDF | pages: 387 | 4,1 mb

Posted by **nebulae** at Nov. 2, 2015

English | ISBN: 0470669527 | 2012 | PDF | 391 pages | 4 MB

Posted by **AlenMiler** at Oct. 18, 2015

English | 9 Oct. 2015 | ISBN: 0133902838 | 256 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 66.76 MB

Master Bayesian Inference through Practical Examples and Computationâ€“Without Advanced Mathematical Analysis.

Posted by **arundhati** at Oct. 11, 2014

2013 | ISBN-10: 1466512105 | 569 pages | PDF | 14 MB

Posted by **libr** at Oct. 2, 2014

English | ISBN: 3642350593 | 2013 | 197 pages | PDF | 3,3 MB

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?

Posted by **AlenMiler** at Sept. 25, 2014

Cambridge University Press; 1 edition | January 18, 2010 | English | ISBN: 0521887941 | 316 pages | PDF | 5 MB

In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy.

Posted by **interes** at June 25, 2014

English | ISBN: 3642350593 | 2013 | 197 pages | PDF | 3,3 MB

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?