
Bayesian Methods for Statistical Analysis
Borek Puza
Bayesian Methods for Statistical Analysis
Borek Puza
Book Details:
Year: | 2015 |
Publisher: | ANU Press |
Pages: | 697 pages |
Language: | english |
Since: | 23/01/2019 |
Size: | 6.20 MB |
License: | CC-BY-NC-ND |
Content:
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse.
The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
Categories:
Tags:
Loading comments...
Scanning lists...
The book in numbers
online since
23/01/2019rate score
Nothing yet...votes
Nothing yet...Social likes
Nothing yet...Views
Downloads
Interest
Countries segmentation
Source Referers
Websites segmentation
evolution
Loading...