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03/23/2023
sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings
sparseDFM is an R package for the implementation of popular estimation m...
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03/21/2023
The Sparse Dynamic Factor Model: A Regularised Quasi-Maximum Likelihood Approach
The concepts of sparsity, and regularised estimation, have proven useful...
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08/12/2021
Sparse Temporal Disaggregation
Temporal disaggregation is a method commonly used in official statistics...
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08/05/2019
Interpretable brain age prediction using linear latent variable models of functional connectivity
Neuroimaging-driven prediction of brain age, defined as the predicted bi...
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05/04/2018
Hedging parameter selection for basis pursuit
In Compressed Sensing and high dimensional estimation, signal recovery o...
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11/27/2017