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Yoshimasa Uematsu
Yoshimasa Uematsu
Verified email at r.hit-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
High‐dimensional macroeconomic forecasting and variable selection via penalized regression
Y Uematsu, S Tanaka
The Econometrics Journal 22 (1), 34-56, 2019
542019
IPAD: stable interpretable forecasting with knockoffs inference
Y Fan, J Lv, M Sharifvaghefi, Y Uematsu
Journal of the American Statistical Association 115 (532), 1822-1834, 2020
482020
Estimation of sparsity-induced weak factor models
Y Uematsu, T Yamagata
Journal of Business & Economic Statistics 41 (1), 213-227, 2022
402022
SOFAR: Large-scale association network learning
Y Uematsu, Y Fan, K Chen, J Lv, W Lin
IEEE transactions on information theory 65 (8), 4924-4939, 2019
362019
Inference in sparsity-induced weak factor models
Y Uematsu, T Yamagata
Journal of Business & Economic Statistics 41 (1), 126-139, 2022
232022
Nonstationary nonlinear quantile regression
Y Uematsu
Econometric Reviews 38 (4), 386-416, 2019
92019
Macroeconomic forecasting and variable selection with a very large number of predictors: A penalized regression approach
Y Uematsu, S Tanaka
arXiv preprint arXiv:1508.04217, 2015
82015
Estimation of weak factor models
Y Uematsu, T Yamagata
DSSR Discussion Papers, 1-47, 2020
72020
Penalized Likelihood Estimation in High-Dimensional Time Series Models and its Application
Y Uematsu
arXiv preprint arXiv:1504.06706, 2015
52015
Estimation of weak factor models
Y Uematsu, T Yamagata
ISER Discussion Paper, 2019
32019
Estimation of large covariance matrices with mixed factor structures
R Dai, Y Uematsu, Y Matsuda
DSSR Discussion Papers, 1-34, 2022
22022
Regression with a Slowly Varying Regressor in the Presence of a Unit Root
Y Uematsu
Global COE Hi-Stat Discussion Paper Series, 2011
22011
Discovering the Network Granger Causality in Large Vector Autoregressive Models
Y Uematsu, T Yamagata
arXiv preprint arXiv:2303.15158, 2023
12023
Inference in weak factor models
Y Uematsu, T Yamagata
ISER Discussion Paper, 2020
12020
Regularization parameter selection via cross-validation in the presence of dependent regressors: a simulation study
Y Uematsu, S Tanaka
Available at SSRN 2700945, 2015
12015
Estimation of large covariance matrices with mixed factor structures
R Dai, Y Uematsu, Y Matsuda
The Econometrics Journal 27 (1), 62-83, 2024
2024
Revisiting Asymptotic Theory for Principal Component Estimators of Approximate Factor Models
P Jiang, Y Uematsu, T Yamagata
arXiv preprint arXiv:2311.00625, 2023
2023
Statistical Inference in High-Dimensional Generalized Linear Models with Asymmetric Link Functions
K Sawaya, Y Uematsu, M Imaizumi
arXiv preprint arXiv:2305.17731, 2023
2023
IPAD: Stable Interpretable Forecasting with Knockoffs Inference
F Yingying, L Jinchi, S Mahrad, U Yoshimasa
DSSR Discussion Papers, 2019
2019
Asymptotic efficiency of the OLS estimator with singular limiting sample moment matrices
Y Uematsu
Statistics & Probability Letters 114, 104-110, 2016
2016
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