The book is currently out of stock
Generalized Jeffrey Conditionalization
A Frequentist Semantics of Partial Conditionalization
Authors
Parameters
- Pages
- 106 pages
- Reading time
- 4 hours
More about the book
The book explores a frequentist approach to conditionalization on partially known events through the concept of probability testbeds, offering a generalization of classical conditional probability. It introduces frequentist partial (F.P.) conditionalization and examines it in relation to partitions, segmentation, independence, and chaining. Notably, F.P. conditionalization extends Jeffrey conditionalization to arbitrary event collections, providing a new perspective and potential applications. Additionally, it presents a counterpart to Jeffrey's rule concerning independent updates, enhancing the understanding of these concepts.
Book purchase
Generalized Jeffrey Conditionalization, Dirk Draheim
- Language
- Released
- 2017
We’ll notify you via email once we track it down.
Payment methods
- Title
- Generalized Jeffrey Conditionalization
- Subtitle
- A Frequentist Semantics of Partial Conditionalization
- Language
- English
- Authors
- Dirk Draheim
- Publisher
- Springer, Berlin
- Released
- 2017
- Format
- Paperback
- Pages
- 106
- ISBN13
- 9783319698670
- Category
- Business and Economics, Mathematics, Computers, IT, Programming
- Description
- The book explores a frequentist approach to conditionalization on partially known events through the concept of probability testbeds, offering a generalization of classical conditional probability. It introduces frequentist partial (F.P.) conditionalization and examines it in relation to partitions, segmentation, independence, and chaining. Notably, F.P. conditionalization extends Jeffrey conditionalization to arbitrary event collections, providing a new perspective and potential applications. Additionally, it presents a counterpart to Jeffrey's rule concerning independent updates, enhancing the understanding of these concepts.