Model averages sharpened into Occam’s razors: Deep learning enhanced by Rényi entropy
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Publication:5046813
DOI10.1080/03610926.2021.1891438OpenAlexW2993014117MaRDI QIDQ5046813
Publication date: 9 November 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1891438
big datamodel averagingdata sciencedeep learningdeep neural networkpredictivismsharpened prior distributionmodel predictive distribution
Cites Work
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- An explanatory rationale for priors sharpened into Occam's razors
- Ancillaries and conditional inference (with comments and rejoinder)
- The Selection of Prior Distributions by Formal Rules
- Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors
- Reporting Bayes factors or probabilities to decision makers of unknown loss functions
- Advances in Deep Learning
- Forecast Combination and Model Averaging Using Predictive Measures
- On the Foundations of Information Theory
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