Springer
An Introduction to Markov Processes
0
Rate this book
Key Metrics
- Daniel W Stroock
- Springer
- Paperback
- 9783540234517
- 9.34 X 6.1 X 0.45 inches
- 0.67 pounds
- Mathematics > Probability & Statistics - General
- English
$0
List Price:
$0
Save:
$0 ($%)
Format:
Paperback
Shipping
$4
Ships from:
-
Estimated Arrival:
Jun 18 -Jun 20
Available Copies:
10+ Copies
Ready To Buy:
Add to Cart
Secure TransactionSold By:
Readara.com
Add to My Wishlist
Book Description
To some extent, it would be accurate to summarize the contents of this book as an intolerably protracted description of what happens when either one raises a transition probability matrix P (i. e., all entries (P)�j are n- negative and each row of P sums to 1) to higher and higher powers or one exponentiates R(P -- I), where R is a diagonal matrix with non-negative entries. Indeed, when it comes right down to it, that is all that is done in this book. However, I, and others of my ilk, would take offense at such a dismissive characterization of the theory of Markov chains and processes with values in a countable state space, and a primary goal of mine in writing this book was to convince its readers that our offense would be warranted. The reason why I, and others of my persuasion, refuse to consider the theory here as no more than a subset of matrix theory is that to do so is to ignore the pervasive role that probability plays throughout. Namely, probability theory provides a model which both motivates and provides a context for what we are doing with these matrices. To wit, even the term transition probability matrix lends meaning to an otherwise rather peculiar set of hypotheses to make about a matrix.
An Introduction to Markov Processes
Videos
No Videos
Community reviews
Write a ReviewNo Community reviews