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

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

Posted by **ksveta6** at Jan. 19, 2016

2015 | ISBN: 1118708601 | English | 240 pages | PDF | 7 MB

Posted by **interes** at Aug. 2, 2013

English | 2012 | ISBN: 1119941822 | 598 pages | PDF | 11,8 MB

Provides an accessible foundation to Bayesian analysis using real world models

This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance.

Posted by **s13tas** at Feb. 27, 2011

Publisher: Springer | ISBN: 3540222138 | edition 2005 | PDF | 547 pages | 11,76 mb

This encyclopedic, detailed exposition spans all the steps of one-period allocation from the foundations to the most advanced developments. Multivariate estimation methods are analyzed in depth, including non-parametric, maximum-likelihood under non-normal hypotheses, shrinkage, robust, and very general Bayesian techniques. Evaluation methods such as stochastic dominance, expected utility, value at risk and coherent measures are thoroughly discussed in a unified setting and applied in a variety of contexts, including prospect theory, total return and benchmark allocation.

Posted by **zhuge.liang** at Feb. 20, 2009

737304

**Bayesian Methods In Finance (Frank J. Fabozzi Series) [REPOST]**

Authors: Svetlozar T. Rachev, John S. J. Hsu, Biliana S. Bagasheva, Frank J. Fabozzi

Wiley | 2008 | ISBN: 0471920830 | PDF | 329 pages | 2.9 mb

Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modeling. While the principles and concepts explained throughout the book can be used in financial modeling and decision making in general, the authors focus on portfolio management and market risk managementâ€”since these are the areas in finance where Bayesian methods have had the greatest penetration to date.

Authors: Svetlozar T. Rachev, John S. J. Hsu, Biliana S. Bagasheva, Frank J. Fabozzi

Wiley | 2008 | ISBN: 0471920830 | PDF | 329 pages | 2.9 mb

Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modeling. While the principles and concepts explained throughout the book can be used in financial modeling and decision making in general, the authors focus on portfolio management and market risk managementâ€”since these are the areas in finance where Bayesian methods have had the greatest penetration to date.

Posted by **Underaglassmoon** at Dec. 4, 2016

Springer | Statistics | December 30, 2016 | ISBN-10: 3319484133 | 261 pages | pdf | 4.24 mb

Authors: Grover, Jeff

Provides a compact resource for the statistical tools required to build a BBN

Includes an accompanying statistical analysis portal

Posted by **arundhati** at Dec. 3, 2016

English | 2014 | ISBN: 111881441X | 256 pages | EPUB | 5 MB

Posted by **leonardo78** at Dec. 2, 2016

English | 2001-05-30 | ISBN: 0471499226 | 276 pages | PDF | 1,4 mb

This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s.

Posted by **ksveta6** at Dec. 2, 2016

2016 | ISBN: 3319398857 | English | 325 pages | PDF | 9 MB

Posted by **Willson** at Dec. 2, 2016

English | 2008 | ISBN: 3540223487, 3642061079 | 607 pages | PDF | 10.7 MB