Root cause estimation of faults in production processes : a novel approach inspired by approximate Bayesian computation
Year of publication: |
2023
|
---|---|
Authors: | Otsubo, Yosuke ; Otani, Naoya ; Chikasue, Megumi ; Nishino, Mineyuki ; Sugiyama, Masashi |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 61.2023, 5, p. 1556-1574
|
Subject: | approximate Bayesian computation | assembly processes | density ratio estimation | machine learning | process model | Root cause estimation | Schätztheorie | Estimation theory | Bayes-Statistik | Bayesian inference |
-
ABC of SV: limited information likelihood inference in stochastic volatility jump-diffusion models
Creel, Michael D., (2015)
-
Computing Bayes : Bayesian computation from 1763 to the 21st century
Martin, Gael M., (2020)
-
Approximating bayes in the 21st century
Martin, Gael M., (2021)
- More ...
-
Input-dependent estimation of generalization error under covariate shift
Sugiyama, Masashi, (2005)
-
In search of non-Gaussian components of a high-dimensional distribution
Blanchard, Gilles, (2006)
-
The degrees of freedom of partial least squares regression
Krämer, Nicole, (2011)
- More ...