Dependence in Probability and Statistics

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Synopsis

This book gives an account of recent developments in the field of probability and statistics for dependent data. It covers a wide range of topics from Markov chain theory and weak dependence with an emphasis on some recent developments on dynamical systems, to strong dependence in times series and random fields. There is a section on statistical estimation problems and specific applications. The book is written as a succession of papers by field specialists, alternating general surveys, mostly at a level accessible to graduate students in probability and statistics, and more general research papers mainly suitable to researchers in the field.

Book details

Edition:
2006
Series:
Lecture Notes in Statistics (Book 187)
Author:
Patrice Bertail, Paul Doukhan, Philippe Soulier
ISBN:
9780387360621
Related ISBNs:
9780387317410
Publisher:
Springer New York
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-02-08
Usage restrictions:
Copyright
Copyright date:
2006
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction