The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hypothesis testing with active information
Open accessAbstract
Abstract We develop hypothesis testing for active information — the averaged quantity in the Kullback–Leibler divergence. To our knowledge, this is the first paper to derive exact probabilities of type-I errors for hypothesis testing in the area.
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“A very efficient way to keep accountability is by calculating the active information I + = log( P ∗ /P max ) [42-44]. I + measures the amount of information added or subtracted when P ∗ is used instead of P max . If I + is positive, P ∗ is overfitting for ℓ X with respect to P max ; if I + is negative, P ∗ is underfitting the life-permitting interval with respect to P max ; and if I + = 0 , P ∗”
From Is cosmological tuning fine or coarse? (2021) · cites this paper as [44]
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Citations
Cites
Conservation of Information in Search: Measuring the Cost of Success
Dembski, W. A., & Marks II, R. J. (2009) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2009.2025027 · Cited by 59
Research works printed but not linked: 7
- Dazard, 2010, Local sparse bump hunting, J. Comput. Graph. Stat., 19, 900, 10.1198/jcgs.2010.09029 · DOI
- Dembski, W.A., Marks, R.J., II, 2009b. Bernoulli’s principle of insufficient reason and conservation of information in computer search. In: Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics. San Antonio, TX, USA, pp. 2647–2652. · DOI · Paper page
- Díaz-Pachón, 2020, Generalized active information: Extension to unbounded domains, J. BIO-Complex
- Díaz-Pachón, 2019, Mode hunting through active information, Appl. Stoch. Models Bus. Ind., 1
- Friedman, 1999, Bump-hunting in high dimensional data, Stat. Comput., 9, 123, 10.1023/A:1008894516817 · DOI
- Montañez, 2018, A unified model of complex specified information, BIO-Complexity, 4, 1
- Wolpert, 1997, No free lunch theorems for optimization, IEEE Trans. Evol. Comput., 1, 67, 10.1109/4235.585893 · DOI · Paper page
Cited by
Is cosmological tuning fine or coarse?
Díaz-Pachón, D. A., Hössjer, O., & Marks II, R. J. (2021) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2021/07/020 · Cited by 10
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Metadata
- Authors
- Díaz–Pachón, D. A., Sáenz, J. P., & Rao, J. S.
- Affiliations
- University of Miami (US)
- Venue
- Statistics & Probability Letters
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 161
- Pages
- 108742
- ISSN
- 0167-7152 (ISSN-L)
- OpenAlex
- W3006719132
- Cited by
- 12
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 5 · 2021: 2
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Statistics & Probability Letters (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Keywords
- hypothesis testing, active information, Kullback-Leibler divergence, type I error probability, exact error probability
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- CoChat. (2026). Citation check: Hypothesis testing with active information. https://app.cochat.ai/papers/10.1016/j.spl.2020.108742
- The paper
- Díaz–Pachón, D. A., Sáenz, J. P., & Rao, J. S. (2020). Hypothesis testing with active information. Statistics & Probability Letters. https://doi.org/10.1016/j.spl.2020.108742
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
