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Variational Non-Bayesian Inference: Problem Setting and Preliminaries
by Bayesian InferenceApril 19th, 2024
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In this mathematical study, we delve into the realm of statistical inference and introduce a novel approach to variational non-Bayesian inference.
This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
Authors:
(1) U Jin Choi, Department of mathematical science, Korea Advanced Institute of Science and Technology & [email protected];
(2) Kyung Soo Rim, Department of mathematics, Sogang University & [email protected].
Table of Links
- Introduction
- Organization and notation
- Problem Setting and Preliminaries
- Generalized Wiener algebra and Fréchet derivative
- Characterization of coefficients
- Coefficients from an ergodic process
- Conclusion & References
3. Problem Setting and Preliminaries.
This section will set the mathematical model that is being addressed and provide basic background information relevant to understanding it.
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