Probabilistic conditional independence structures
Milan Studený
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Probabilistic conditional independence structures
Published
2005
Publisher
Springer
Pages
285
ISBN-10
1852338911
Description
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach. The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets. Motivation, mathematical foundations and areas of application are included, and a rough overview of graphical methods is also given. In particular, the author has been careful to use suitable terminology, and presents the work so that it will be understood by both statisticians, and by researchers in artificial intelligence. The necessary elementary mathematical notions are recalled in an appendix. Probabilistic Conditional Independence Structures will be a valuable new addition to the literature, and will interest applied mathematicians, statisticians, informaticians, computer scientists and probabilists with an interest in artificial intelligence. The book may also interest pure mathematicians as open problems are included. Milan Studený is a senior research worker at the Academy of Sciences of the Czech Republic.
Subjects
College Algebra
The Visual Display of Quantitative Information
Precalculus With Limits
Precalculus
Engineering design graphics
Mathematics with applications
Frequently Asked Questions
How many pages are in Probabilistic conditional independence structures?
This edition of Probabilistic conditional independence structures has approximately 285 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Probabilistic conditional independence structures?
For most readers, Probabilistic conditional independence structures typically takes between 5h 56m and 3h 58m to complete. This is based on the book's length of approximately 71,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 45m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 71,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Probabilistic conditional independence structures?
The estimated word count for Probabilistic conditional independence structures is approximately 71,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Probabilistic conditional independence structures?
Probabilistic conditional independence structures was written by Milan Studený.
When was Probabilistic conditional independence structures published?
The publication date for this specific edition is 2005. The original work may have been published on a different date.