Applications of Hierarchical Bayesian Methods to Answer Multilayer Questions with Limited Data
There are many types of problems that include variables that are not well defined. Seeking answers to complex problems that involve many variables becomes mathematically challenging. Instead, many investigators use methods like principal component analysis to reduce the number of variables, or linea...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/82619 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Applications of Hierarchical Bayesian Methods to Answer Multilayer Questions with Limited Data
- Microstrip-Slot Transition and Its Applications in Multilayer Microwave Circuits
- Multilayered Wire Media: Generalized Additional Boundary Conditions and Applications
- Numerical Analysis of Planar Periodic Multilayer Structures by Method of Moments
- Multilayered Nanostructures Integrated with Emerging Technologies
- Multilayer Thin Films on Fine Particles
- Multilayer Approach in Light-Emitting Transistors