DOI10.2307/2526134zbMath0483.90037OpenAlexW2089189865MaRDI QIDQ3942721
Kenneth J. Singleton, John F. Geweke
Publication date: 1981
Published in: International Economic Review (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2526134
Simultaneous Statistical Inference in Dynamic Factor Models,
Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints,
Estimation of Common Factors under Cross-Sectional and Temporal Aggregation Constraints,
Estimation methods for multivariate Tobit confirmatory factor analysis,
VARs, common factors and the empirical validation of equilibrium business cycle models,
Statistical Tests and Estimators of the Rank of a Matrix and Their Applications in Econometric Modelling,
Fitting ARMA time series by structural equation models,
A Multivariate GARCH Model Incorporating the Direct and Indirect Transmission of Shocks,
Can we use seasonally adjusted variables in dynamic factor models?,
Forecasting with nonstationary dynamic factor models,
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Nonlinear regime-switching state-space (RSSS) models,
A spectral EM algorithm for dynamic factor models,
A two-step estimator for large approximate dynamic factor models based on Kalman filtering,
Nonstationary dynamic factor analysis,
Functional dynamic factor models with application to yield curve forecasting,
Identification in restricted factor models and the evaluation of rank conditions,
Rotation in the dynamic factor modeling of multivariate stationary time series,
Simultaneous statistical inference in dynamic factor models: chi-square approximation and model-based bootstrap,
Bias correction for time series factor models,
Weighted‐Covariance Factor Decomposition of Varma Models Applied to Forecasting Quarterly U.S. Real GDP at Monthly Intervals,
A note on the identification of restricted factor loading matrices,
A wavelet approach for factor-augmented forecasting,
Spatial voting models in circular spaces: a case study of the U.S. House of Representatives,
Errors-in-variables system identification using structural equation modeling