Group fused Lasso for large factor models with multiple structural breaks
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Publication:2688655
DOI10.1016/j.jeconom.2022.02.003OpenAlexW4220945446MaRDI QIDQ2688655
Publication date: 3 March 2023
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2022.02.003
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
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- Detecting big structural breaks in large factor models
- Testing for factor loading structural change under common breaks
- Estimating the common break date in large factor models
- Determining the number of factors when the number of factors can increase with sample size
- Identification and estimation of a large factor model with structural instability
- Least squares estimation of large dimensional threshold factor models
- Testing for structural breaks in dynamic factor models
- LASSO estimation of threshold autoregressive models
- Estimation of multiple-regime regressions with least absolutes deviation
- Simultaneous multiple change-point and factor analysis for high-dimensional time series
- Estimation of large dimensional factor models with an unknown number of breaks
- Nonlinear factor models for network and panel data
- Estimating and testing high dimensional factor models with multiple structural changes
- Estimation and inference of change points in high-dimensional factor models
- On time-varying factor models: estimation and testing
- Threshold factor models for high-dimensional time series
- Testing for structural stability of factor augmented forecasting models
- Consistent factor estimation in dynamic factor models with structural instability
- Eigenvalue Ratio Test for the Number of Factors
- SHRINKAGE ESTIMATION OF REGRESSION MODELS WITH MULTIPLE STRUCTURAL CHANGES
- Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions
- TESTS FOR PARAMETER INSTABILITY IN DYNAMIC FACTOR MODELS
- Forecasting Using Principal Components From a Large Number of Predictors
- Estimating and Testing Linear Models with Multiple Structural Changes
- Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities
- Sparsity and Smoothness Via the Fused Lasso
- Group LASSO for Structural Break Time Series
- Multiple Change-Point Estimation With a Total Variation Penalty
- Multiple-Change-Point Detection for High Dimensional Time Series via Sparsified Binary Segmentation
- Model Selection and Estimation in Regression with Grouped Variables
- Inferential Theory for Factor Models of Large Dimensions
- Determining the Number of Factors in Approximate Factor Models
- The Generalized Dynamic Factor Model
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