Nonlinear econometric models with machine learning
Year of publication: |
2022
|
---|---|
Authors: | Chan, Felix ; Harris, Mark N. ; Singh, Ranjodh B. ; Yeo, Wei Ern |
Published in: |
Econometrics with Machine Learning. - Cham : Springer International Publishing, ISBN 978-3-031-15149-1. - 2022, p. 41-78
|
Subject: | Künstliche Intelligenz | Artificial intelligence | Nichtlineare Regression | Nonlinear regression | Prognoseverfahren | Forecasting model | Makroökonometrie | Macroeconometrics | Ökonometrisches Modell | Econometric model | Schätztheorie | Estimation theory |
-
Estimating base temperatures in econometric models that include degree days
Woods, James, (2014)
-
Linear econometric models with machine learning
Chan, Felix, (2022)
-
Sensitivity analysis of FIML-estimates in nonlinear econometric models
Weihs, Claus, (1982)
- More ...
-
Cannabis and tobacco : substitutes and complements
Harris, Mark N., (2024)
-
A methodology for projecting sparse populations and its application to remote Indigenous communities
Dockery, Alfred M., (2021)
-
Liquidation discount : a novel application of ARFIMA-GARCH
Singh, Ranjodh B., (2016)
- More ...