Cargando…
A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis
This work presents a computationally-efficient, probabilistic approach to model-based damage diagnosis. Given measurement data, probability distributions of unknown damage parameters are estimated using Bayesian inference and Markov chain Monte Carlo (MCMC) sampling. Substantial computational speedu...
Autores principales: | Warner, James E., Bomarito, Geoffrey F., Hochhalter, Jacob D., Leser, William P., Leser, Patrick E., Newman, John A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376618/ https://www.ncbi.nlm.nih.gov/pubmed/32704401 |
Ejemplares similares
-
Adaptive efficient compression of genomes
por: Wandelt, Sebastian, et al.
Publicado: (2012) -
Sequence Factorization with Multiple References
por: Wandelt, Sebastian, et al.
Publicado: (2015) -
Estimation of Transcription Factor Activity in Knockdown Studies
por: Trescher, Saskia, et al.
Publicado: (2019) -
Exotic Higgs decays in a neutrino mass model with discrete S3 symmetry
por: Bhattacharyya, G, et al.
Publicado: (2010) -
Econometric techniques and problems /
por: Leser, Conrad Emanuel Victor, 1915-
Publicado: (1974)