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Science from Fisher Information: A Unification
Abstract
This book develops and applies an analytical approach to deriving the probability laws of science in general. It is called 'extreme physical information' or EPI. EPI is an expression of the imperfection of observation: Owing to random interaction of a subject with its observer and other possible disturbances, its measurement contains less Fisher information than does the subject per se. Moreover, the information loss is an extreme value. An EPI output may alternatively be viewed as the payoff of a zero-sum game of information acquisition between the observer and a 'demon' in subject space. EPI derives, Escher-like, the very probability law that gave rise to the measurement. In applications, EPI is used to derive both existing and new analytical relations governing probability laws of physics, genetics, cancer growth, ecology and economics. This unified approach will be fascinating to students and those who seek a new mathematical tool of research.
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Cited by
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
Hüllermeier, E., & Waegeman, W. (2021) · Machine Learning · doi:10.1007/s10994-021-05946-3 · Cited by 1,834
The power of quantum neural networks
Abbas, A., Sutter, D., Zoufal, C., Lucchi, A., Figalli, A., & Woerner, S. (2021) · Nature Computational Science · doi:10.1038/s43588-021-00084-1 · Cited by 1,082
Optimal measurement on noisy quantum systems
Watanabe, Y., Sagawa, T., & Ueda, M. (2010) · Physical Review Letters · doi:10.1103/physrevlett.104.020401 · Cited by 80
Frank, S. A. (2012) · Journal of Evolutionary Biology · doi:10.1111/jeb.12010 · Cited by 21
Metadata
- Authors
- Frieden, B. R.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2004-06-10
- OpenAlex
- W4245439180
- Cited by
- 585
- References
- 0
- FWCI
- 4.70
- Type
- book
- Language
- en
- Open access
- closed
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