Modeling and Analysis of Non-Linear Dependencies using Copulas, with Applications to Machine Learning
Many machine learning (ML) techniques rely on probability, random variables, and stochastic modeling. Although statistics pervades this field, there is a large disconnect between the copula modeling and the machine learning communities. Copulas are stochastic models that capture the full dependence...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
Virginia Tech
2018
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10919/85110 |