Cargando…
Bayesian Input Design for Linear Dynamical Model Discrimination
A Bayesian design of the input signal for linear dynamical model discrimination has been proposed. The discrimination task is formulated as an estimation problem, where the estimated parameter indexes particular models. As the mutual information between the parameter and model output is difficult to...
Autor principal: | Bania, Piotr |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514835/ https://www.ncbi.nlm.nih.gov/pubmed/33267065 http://dx.doi.org/10.3390/e21040351 |
Ejemplares similares
-
Optimal Bayesian design for model discrimination via classification
por: Hainy, Markus, et al.
Publicado: (2022) -
Bayesian estimation and experimental design in linear regression models /
por: Pilz, Jürgen
Publicado: (1991) -
Design of input and output couplers for linear accelerator structures
por: Yamaguchi, S, et al.
Publicado: (1996) -
Modeling Morphology With Linear Discriminative Learning: Considerations and Design Choices
por: Heitmeier, Maria, et al.
Publicado: (2021) -
Bayesian analysis of linear models
por: Broemeling
Publicado: (2017)