scientific article; zbMATH DE number 6860822
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Publication:4637041
zbMath1442.62122arXiv1708.05879MaRDI QIDQ4637041
Publication date: 17 April 2018
Full work available at URL: https://arxiv.org/abs/1708.05879
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Parametric hypothesis testing (62F03) General nonlinear regression (62J02)
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Cites Work
- Regularized estimation in sparse high-dimensional time series models
- Smooth minimization of non-smooth functions
- Sparse inverse covariance estimation with the graphical lasso
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Copula-based semiparametric models for multivariate time series
- Noisy matrix decomposition via convex relaxation: optimal rates in high dimensions
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling
- Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
- High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity
- Hanson-Wright inequality and sub-Gaussian concentration
- Resampling a coverage pattern
- Statistical analysis of cointegration vectors
- Weak convergence of dependent empirical measures with application to subsampling in function spaces
- Canonical correlation analysis and reduced rank regression in autoregressive models
- Higher criticism for detecting sparse heterogeneous mixtures.
- Dynamic risk exposures in hedge funds
- High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
- Empirical Processes with Applications to Statistics
- Stability Selection
- Recursive Models of Dynamic Linear Economies
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
- On the Limiting Distribution of Roots of a Determinantal Equation
- Estimation of direct and indirect impact of oil price on growth.
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
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