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Statistical Computing in Nuclear Imaging
book

Statistical Computing in Nuclear Imaging

by Arkadiusz Sitek
December 2014
Intermediate to advanced content levelIntermediate to advanced
275 pages
9h 12m
English
CRC Press
Content preview from Statistical Computing in Nuclear Imaging
114 Statistical Computing in Nuclear Imaging
which states that given the s ystem in s tate s t
he process must genera te a new
state. All of the above conditions do not imply that transition probability
P (s s) indicating that s ystem stays in the same state s in the next move
does not have to be z ero. Interestingly if P (s s) = 1 then the Markov
process is valid albeit trivial as the system stays in the state s. The Markov
process defined in this section will generate a succe ssion of states. When run
for a long time with properly designed transition probabilities the states that
are generated will appear in the chain with chances proportional to their prob-
abilities and ther efore will be the samples from the pr obability measure p(s).
Another ...
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Publisher Resources

ISBN: 9781439849347