dc.contributor |
Massachusetts Institute of Technology. Department of Physics |
|
dc.contributor |
Marzen, Sarah E. |
|
dc.creator |
Crutchfield, James P |
|
dc.creator |
Marzen, Sarah E. |
|
dc.date |
2017-09-25T18:08:22Z |
|
dc.date |
2018-06-03T05:00:09Z |
|
dc.date |
2017-08 |
|
dc.date |
2017-04 |
|
dc.date |
2017-09-23T04:44:13Z |
|
dc.date.accessioned |
2023-03-01T18:08:04Z |
|
dc.date.available |
2023-03-01T18:08:04Z |
|
dc.identifier |
0022-4715 |
|
dc.identifier |
1572-9613 |
|
dc.identifier |
http://hdl.handle.net/1721.1/111635 |
|
dc.identifier |
Marzen, Sarah E., and Crutchfield, James P. “Structure and Randomness of Continuous-Time, Discrete-Event Processes.” Journal of Statistical Physics 169, 2 (August 2017): 303–315 © 2017 Springer Science+Business Media, LLC |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/278878 |
|
dc.description |
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process’ intrinsic randomness; the statistical complexity gives the cost of predicting the process. We calculate, for the first time, the entropy rate and statistical complexity of stochastic processes generated by finite unifilar hidden semi-Markov models—memoryful, state-dependent versions of renewal processes. Calculating these quantities requires introducing novel mathematical objects (ϵ-machines of hidden semi-Markov processes) and new information-theoretic methods to stochastic processes. |
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dc.format |
application/pdf |
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dc.language |
en |
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dc.publisher |
Springer-Verlag |
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dc.relation |
http://dx.doi.org/10.1007/s10955-017-1859-y |
|
dc.relation |
Journal of Statistical Physics |
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dc.rights |
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. |
|
dc.rights |
Springer Science+Business Media, LLC |
|
dc.source |
Springer US |
|
dc.title |
Structure and Randomness of Continuous-Time, Discrete-Event Processes |
|
dc.type |
Article |
|
dc.type |
http://purl.org/eprint/type/JournalArticle |
|