Goodness-of-fit in production models : a Bayesian perspective
| Year of publication: |
2025
|
|---|---|
| Authors: | Tsionas, Efthymios G. ; Zelenyuk, Valentin ; Zhang, Xibin |
| Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 324.2025, 2 (16.7.), p. 644-653
|
| Subject: | Bayesian artificial neural networks | Bayesian compression | Data Envelopment Analysis | Frontier methods | Goodness-of-fit | Productivity and competitiveness | US banking | Data-Envelopment-Analyse | Data envelopment analysis | Bayes-Statistik | Bayesian inference | Neuronale Netze | Neural networks | Theorie | Theory | Produktivität | Productivity | Technische Effizienz | Technical efficiency | Bank | Schätzung | Estimation |
-
Bayesian Artificial Neural Networks for frontier efficiency analysis
Tsionas, Efthymios G., (2023)
-
Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G., (2023)
-
Estimating productivity change in South African banks : decomposing productivity index numbers
Westhuizen, G. van der, (2012)
- More ...
-
LASSO+DEA for small and big wide data
Chen, Ya, (2021)
-
Goodness-of-fit in optimizing models of production : a generalization with a Bayesian perspective
Tsionas, Efthymios G., (2021)
-
Tsionas, Efthymios G., (2022)
- More ...