Bayes' Rule With Python: A Tutorial Introduction to Bayesian Analysis

Bayes' Rule: A Tutorial Introduction to Bayesian Analysis  eBooks & eLearning

Posted by nebulae at May 19, 2015
Bayes' Rule: A Tutorial Introduction to Bayesian Analysis

James V Stone, "Bayes' Rule: A Tutorial Introduction to Bayesian Analysis"
English | ISBN: 0956372848 | 2013 | 180 pages | PDF | 6 MB

The BUGS Book: A Practical Introduction to Bayesian Analysis  eBooks & eLearning

Posted by roxul at June 2, 2015
The BUGS Book: A Practical Introduction to Bayesian Analysis

David Lunn, "The BUGS Book: A Practical Introduction to Bayesian Analysis"
English | ISBN: 1584888490 | 2013 | 399 pages | PDF | 3 MB
Working with Texts: A Core Introduction to Language Analysis, 2 edition (repost)

Working with Texts: A Core Introduction to Language Analysis, 2 edition By Maggie Bowring, Ronald Carter and more
English | 2001 | 306 Pages | ISBN: 0415234646 , 0415234654 | PDF | 7 MB

Working with Texts: A Core Introduction to Language Analysis (repost)  eBooks & eLearning

Posted by interes at Feb. 9, 2013
Working with Texts: A Core Introduction to Language Analysis (repost)

Working with Texts: A Core Introduction to Language Analysis By Maggie Bowring, Ronald Carter and more
2 edition 2001 | 306 Pages | ISBN: 0415234646 , 0415234654 | PDF | 7 MB

This best-selling introduction to language studies includes a huge range of activities and projects, introducing core areas of language structure and grammar through analysis of real texts. Ideal for both A level and beginning undergraduate students, this second edition includes:
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering) by Svein Linge
English | 4 Aug. 2016 | ISBN: 3319324276 | 250 Pages | EPUB | 3.28 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering) by Svein Linge and Hans Petter Langtangen
English | 2016 | ISBN: 3319324276 | 232 pages | PDF | 4 MB

An Introduction to Bayesian Analysis: Theory and Methods (repost)  eBooks & eLearning

Posted by interes at Feb. 1, 2015
An Introduction to Bayesian Analysis: Theory and Methods (repost)

An Introduction to Bayesian Analysis: Theory and Methods by Jayanta K. Ghosh and Mohan Delampady
English | 2006-08-28 | ISBN: 0387400842 | PDF | 352 pages | 4,6 MB

An Introduction to Bayesian Analysis: Theory and Methods [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Dec. 3, 2013
An Introduction to Bayesian Analysis: Theory and Methods [Repost]

Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta - An Introduction to Bayesian Analysis: Theory and Methods
Published: 2006-08-28 | ISBN: 0387400842 | PDF | 352 pages | 4 MB

Jayanta K. Ghosh, An Introduction to Bayesian Analysis: Theory and Methods (Repost)  eBooks & eLearning

Posted by Direktor69 at June 20, 2013
Jayanta K. Ghosh, An Introduction to Bayesian Analysis: Theory and Methods (Repost)

Jayanta K. Ghosh, An Introduction to Bayesian Analysis: Theory and Methods
ISBN: 0387400842 | edition 2006 | PDF | 356 pages | 15 mb

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing.
An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)
Publisher:Springer (2006-07-27) | ISBN-10: 0387400842 | PDF | 3.3 Mb | 352 pages

This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and emerging areas such as reference priors, objective Bayes testing, Bayesian model selection and wavelets. No other such book is available in the market.