Variational Non-Bayesian Inference: Problem Setting and Preliminaries

Written by bayesianinference | Published 2024/04/19
Tech Story Tags: probability-density-function | wiener-algebra | non-bayesian-inference | frechet-derivative | ergodic-process | hidden-population-distribution | kullbackleibler-divergence | iterative-computations

TLDRIn this mathematical study, we delve into the realm of statistical inference and introduce a novel approach to variational non-Bayesian inference. via the TL;DR App

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].

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.


Written by bayesianinference | At BayesianInference.Tech, as more evidence becomes available, we make predictions and refine beliefs.
Published by HackerNoon on 2024/04/19