On the degrees of freedom of mixed matrix regression
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Publication:1993055
DOI10.1155/2017/6942865zbMath1426.62208OpenAlexW2756163237MaRDI QIDQ1993055
Publication date: 5 November 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/6942865
Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)
Cites Work
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- Observer-based controller design for singular stochastic Markov jump systems with state dependent noise
- Degrees of freedom in lasso problems
- Degrees of freedom in low rank matrix estimation
- Stochastic linear quadratic optimal control with constraint for discrete-time systems
- Statistics for high-dimensional data. Methods, theory and applications.
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling
- The solution path of the generalized lasso
- Stability analysis for stochastic differential equations with infinite Markovian switchings
- Estimation of the mean of a multivariate normal distribution
- Stability of nonlinear stochastic discrete-time systems
- Least angle regression. (With discussion)
- On the ``degrees of freedom of the lasso
- On Measuring and Correcting the Effects of Data Mining and Model Selection
- Adaptive Model Selection
- Regularized Matrix Regression
- Some Comments on C P
- The Estimation of Prediction Error
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