Degenerate Gaussian factors for probabilistic inference
From MaRDI portal
Publication:2077023
DOI10.1016/j.ijar.2022.01.008OpenAlexW4205653844MaRDI QIDQ2077023
Johan A. du Preez, J. C. Schoeman, Corné E. van Daalen
Publication date: 22 February 2022
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.15010
linear dependenceinferenceDirac delta functionrecursive state estimationdegenerate factorGaussian network
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fusion, propagation, and structuring in belief networks
- Bayesian networks with degenerate Gaussian distributions
- Degeneracy in the maximum likelihood estimation of univariate Gaussian mixtures with EM.
- Gaussian elimination is not optimal
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Distribution of the Phase Angle Between Two Vectors Perturbed by Gaussian Noise
- Ridge Regression in Practice
- On the Early History of the Singular Value Decomposition
- Penalized regression with model-based penalties
- Bayesian Reasoning and Machine Learning
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
This page was built for publication: Degenerate Gaussian factors for probabilistic inference