Nick Heard
Introduction to Bayesian Inference, Methods and Computation
Introduction to Bayesian Inference, Methods and Computation
💎 Earn 371 Points (£3.71) on this item.
We can order this item for you. Delivery usually takes about 4 to 6 weeks.
This item is not held in our immediate stock. We will order it for you after checkout.
Estimated delivery: About 4 to 6 weeks
YOU SAVE £15.66
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £3.89. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Introduction to Bayesian Inference, Methods and Computation
The course covers Bayesian statistical methods,from fundamental philosophy to advanced topics,with Python and Stan code samples. It teaches model assessment and choice.
\n Format: Hardback
\n Length: 169 pages
\n Publication date: 18 October 2021
\n Publisher: Springer Nature Switzerland AG
\n
These comprehensive lecture notes offer a thorough and concise introduction to Bayesian statistical methods. The course delves into the core philosophy and principles of Bayesian inference, encompassing the rationale behind constructing prior/likelihood models, which are fundamental to Bayesian approaches. It progresses to cover advanced topics such as nonparametrics, Gaussian processes, and latent factor models, providing practical examples and code snippets written in Python and Stan. Moreover, the reader gains valuable skills in assessing model fit and selecting the most suitable modeling approaches. By the end of this course, participants will have a solid foundation in Bayesian statistics and be equipped to apply these techniques in various real-world applications.
Introduction
Prior/Likelihood Model Construction
Bayesian Inference Algorithms
Advanced Topics
Practical Examples
Assessing Model Fit
Choosing Between Rival Modeling Approaches
Conclusion
\n Weight: 420g\n
Dimension: 160 x 243 x 17 (mm)\n
ISBN-13: 9783030828073\n
Edition number: 1st ed. 2021\n
UK and International shipping information
UK and International shipping information
We deliver throughout the United Kingdom and to 128 countries and territories worldwide, including the United States, Australia, Canada, Germany, Spain and France.
