Inference using simulated neural moments
Year of publication: |
2021
|
---|---|
Authors: | Creel, Michael D. |
Published in: |
Econometrics : open access journal. - Basel : MDPI, ISSN 2225-1146, ZDB-ID 2717594-7. - Vol. 9.2021, 4, Art.-No. 35, p. 1-15
|
Subject: | approximate Bayesian computing | jump diffusion | Laplace-type estimators | neural networks | simulated moments | Neuronale Netze | Neural networks | Schätztheorie | Estimation theory | Simulation | Induktive Statistik | Statistical inference | Bayes-Statistik | Bayesian inference | Momentenmethode | Method of moments |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/econometrics9040035 [DOI] hdl:10419/247625 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Inference using simulated neural moments
Creel, Michael D., (2020)
-
Neural nets for indirect inference
Creel, Michael D., (2016)
-
Inference using simulated neural moments
Creel, Michael D., (2021)
- More ...
-
Inference using simulated neural moments
Creel, Michael D., (2021)
-
Usage and valuation of natural parks in Catalonia, 2001 - 2002
Creel, Michael D., (2008)
-
Creel, Michael D., (2008)
- More ...