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].

Table of Links

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