Explore the latest books of this year!
Bookbot

Bayesian Inference for Partially Identified Models

Exploring the Limits of Limited Data

Parameters

  • 196 pages
  • 7 hours of reading

More about the book

The book explores the Bayesian approach to inference within partially identified models (PIMs), highlighting its effectiveness in such contexts. It provides a comprehensive overview of the statistical theory, properties, and applications related to PIMs, including those for misclassified data and instrumental variables. Drawing from extensive research, the author includes recent real data applications, illustrating the practical relevance and performance of Bayesian procedures in analyzing PIMs.

Book purchase

Bayesian Inference for Partially Identified Models, Paul Gustafson

Language
Released
2015
product-detail.submit-box.info.binding
(Hardcover)
We’ll email you as soon as we track it down.

Payment methods

No one has rated yet.Add rating