On cross-validated Lasso
Year of publication: |
2016
|
---|---|
Authors: | Chetverikov, Denis ; Liao, Zhipeng |
Publisher: |
London : Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL |
Subject: | Lasso estimator | Künstliche Intelligenz | Artificial intelligence | Regressionsanalyse | Regression analysis | Schätztheorie | Estimation theory |
Extent: | 1 Online-Ressource (circa 37 Seiten) Illustrationen |
---|---|
Series: | CEMMAP working papers / Centre for Microdata Methods and Practice. - London : [Verlag nicht ermittelbar], ISSN 1753-9196, ZDB-ID 2106928-1. - Vol. CWP 16, 47 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature |
Language: | English |
Other identifiers: | 10.1920/wp.cem.2016.4716 [DOI] hdl:10419/149793 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Real estate trend prediction using linear regression and artificial neural network techniques
Zhou, Sophia L., (2022)
-
McGibney, Daniel P., (2023)
-
Testing for consistency using artificial regressions
MacKinnon, James G., (1987)
- More ...
-
Chetverikov, Denis, (2016)
-
Fixed‐ k inference for volatility
Bollerslev, Tim, (2021)
-
A consistent specification test for dynamic quantile models
Horvath, Peter, (2022)
- More ...