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Markov Chains : From Theory to Implementation and Experimentation
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Publication date
(Online):
July 14 2017
Publisher:
John Wiley & Sons, Inc.
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A general method for numerically simulating the stochastic time evolution of coupled chemical reactions
Daniel Gillespie
(1976)
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Biological sequence analysis
Richard Durbin
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Sean R. Eddy
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Anders Krogh
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(1998)
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Big Data, new epistemologies and paradigm shifts
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Publication date (Online):
July 14 2017
Pages
: 227-229
DOI:
10.1002/9781119387596.refs
SO-VID:
466cf49d-5cb0-4a4d-98d5-b8dadbf8c9d4
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Book chapters
pp. i
Front Matter
pp. 1
Historical Notes
pp. 9
From Observation to Simulation
pp. 25
Building the Stochastic Matrix
pp. 37
Predictions Using Two-State Markov Chains
pp. 61
Predictions Using n -State Markov Chains
pp. 93
Absorbing Markov Chains
pp. 99
The Average Time Spent in Each State
pp. 107
Discussions on Different Configurations of Chains
pp. 131
The Simulation of an n -State Markov Chain
pp. 165
Supporting Algorithms in PHP
pp. 193
Supporting Algorithms in JavaScript
pp. 223
Syntax Equivalence between Languages
pp. 225
Glossary
pp. 227
References
pp. 231
Index
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