An investigation of the logical foundations of the theory behind Markov random processes, this text explores subprocesses, transition functions, and conditions for boundedness and continuity. Rather than focusing on probability measures individually, the work explores connections between functions. An elementary grasp of the theory of Markov processes is assumed. Starting with a brief survey of relevant concepts and theorems from measure theory, the text investigates operations that permit an inspection of the class of ...
Read More
An investigation of the logical foundations of the theory behind Markov random processes, this text explores subprocesses, transition functions, and conditions for boundedness and continuity. Rather than focusing on probability measures individually, the work explores connections between functions. An elementary grasp of the theory of Markov processes is assumed. Starting with a brief survey of relevant concepts and theorems from measure theory, the text investigates operations that permit an inspection of the class of Markov processes corresponding to a given transition function. It advances to the more complicated operations of generating a subprocess, followed by examinations of the construction of Markov processes with given transition functions, the concept of a strictly Markov process, and the conditions required for boundedness and continuity of a Markov process. Addenda, notes, references, and indexes supplement the text.
Read Less
Add this copy of Theory of Markov Processes (Dover Books on Mathematics) to cart. $6.99, very good condition, Sold by HPB-Ruby rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2006 by Dover.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
