Nonparametric estimation and conformal inference of the sufficient forecasting with a diverging number of factors
| Year of publication: |
2022
|
|---|---|
| Authors: | Yu, Xiufan ; Yao, Jiawei ; Xue, Lingzhou |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 1, p. 342-354
|
| Subject: | Nonparametric estimation | Conformal inference | Factor models | Forecasting | High-dimensional predictors | Principal components | Prognoseverfahren | Forecasting model | Nichtparametrisches Verfahren | Nonparametric statistics | Faktorenanalyse | Factor analysis | Induktive Statistik | Statistical inference | Schätztheorie | Estimation theory | Schätzung | Estimation | Nichtparametrische Schätzung |
-
Investigating growth-at-risk using a multicountry nonparametric quantile factor model
Clark, Todd E., (2024)
-
Recovering latent variables by matching
Arellano, Manuel, (2019)
-
Recovering latent variables by matching
Arellano, Manuel, (2020)
- More ...
-
Power enhancement for testing multi-factor asset pricing models via Fisher's method
Yu, Xiufan, (2024)
-
Sufficient Forecasting Using Factor Models
Fan, Jianqing, (2015)
-
Sufficient forecasting using factor models
Fan, Jianqing, (2017)
- More ...