Тotal probability formula for vector Gaussian distributions
The total probability formula for continuous random variables is the integral of product of two probability density functions that defines the unconditional probability density function from the conditional one. The need for calculation of such integrals arises in many applications, for instant, in...
Saved in:
| Main Authors: | V. S. Mukha, N. F. Kako |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Educational institution «Belarusian State University of Informatics and Radioelectronics»
2021-03-01
|
| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| Subjects: | |
| Online Access: | https://doklady.bsuir.by/jour/article/view/3035 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neutrosophic Inverse Gaussian Distribution in Economic Policy Design under Indeterminacy
by: Ahmedia Musa M. Ibrahim, et al.
Published: (2025-05-01) -
Estimation of the yield and green water footprint of rainfed wheat based on remote sensing and machine learning
by: Mojgan Ahmadi, et al.
Published: (2025-07-01) -
Multivariate Modified Dugum Distribution and Its Applications
by: Naelah Alghufily, et al.
Published: (2025-05-01) -
Association between blood lead levels and constipation in adults: insights from NHANES data (2005–2010)
by: Yue-Juan Li, et al.
Published: (2025-07-01) -
Data De-Noise for Multivariate T2 and S-Charts Using Multivariate Wavelets
by: Dler Hussein Kadir, et al.
Published: (2024-12-01)