Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Methodologies and Techniques in Bayesian Econometrics
Type
Physical Book
Publisher
Author
Language
English
Pages
298
Format
Hardcover
ISBN13
9798887156859

Methodologies and Techniques in Bayesian Econometrics

Ince, Piers (Author) · Oryson Press · Hardcover

Methodologies and Techniques in Bayesian Econometrics - Ince, Piers

New Book Imported to Netherlands
Delivery: 15 Oct - 19 Oct Shipping: 5 to 6 business days.
€ 149,23
Import costs and 9% BTW included in the price ✅
€ 149,23

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Methodologies and Techniques in Bayesian Econometrics"

"Methodologies and Techniques in Bayesian Econometrics explores the crucial role of Bayesian inference in modern economic analysis, particularly where traditional econometric approaches often struggle. These limitations include handling complex data structures, working with limited sample sizes, and effectively incorporating valuable prior knowledge. Bayesian methods, in contrast, offer a powerful and coherent framework for statistical modeling. They enable direct probability statements about parameters, moving beyond mere point estimates, and facilitate more flexible model specification, thereby addressing these challenges effectively.This comprehensive book systematically introduces the foundations of Bayesian probability, including Bayes' theorem, estimation, and hypothesis testing. It delves into predictive methods for forecasting, the critical aspect of choosing appropriate prior distributions, and essential asymptotic approximations for complex models. Comprehensive coverage includes Bayesian linear regression, advanced hierarchical, latent, and mixture models, alongside Bayesian time series analysis. Crucially, it details fundamental computational techniques like Monte Carlo integration and Markov Chain Monte Carlo (MCMC) algorithms, such as Gibbs sampling and Metropolis-Hastings, and addresses model uncertainty through Bayesian model averaging and selection. This makes it an ideal resource for graduate students, researchers, and practitioners in econometrics, statistics, and related quantitative fields.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews