Pages that link to "Item:Q4569901"

The following pages link to Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory (Q4569901):

Displaying 32 items.

• Asymptotic power of sphericity tests for high-dimensional data (Q366967) (← links)
• Similarity matrix analysis and divergence measures for statistical detection of unknown deterministic signals hidden in additive noise (Q529543) (← links)
• On the distribution of the ratio of the largest eigenvalue to the trace of a Wishart matrix (Q618160) (← links)
• Roy's largest root under rank-one perturbations: the complex valued case and applications (Q2008213) (← links)
• Likelihood ratio test for partial sphericity in high and ultra-high dimensions (Q2011514) (← links)
• High-dimensional linear models: a random matrix perspective (Q2051014) (← links)
• Improving portfolios global performance using a cleaned and robust covariance matrix estimate (Q2153647) (← links)
• Rapid evaluation of the spectral signal detection threshold and Stieltjes transform (Q2230693) (← links)
• A note on the CLT of the LSS for sample covariance matrix from a spiked population model (Q2252894) (← links)
• Optimal estimation and rank detection for sparse spiked covariance matrices (Q2343031) (← links)
• Hypergeometric functions of matrix arguments and linear statistics of multi-spiked Hermitian matrix models (Q2350056) (← links)
• Optimal shrinkage of eigenvalues in the spiked covariance model (Q2413608) (← links)
• Estimation of the number of spikes, possibly equal, in the high-dimensional case (Q2443265) (← links)
• Multidimensional scaling of noisy high dimensional data (Q2659741) (← links)
• A survey on the eigenvalues local behavior of large complex correlated Wishart matrices (Q2786531) (← links)
• Statistical analysis of the performance of information theoretic criteria in the detection of the number of signals in array processing (Q3468431) (← links)
• Detection of the Number of Signals Using the Benjamini-Hochberg Procedure (Q4564600) (← links)
• Nonparametric Detection of Signals by Information Theoretic Criteria: Performance Analysis and an Improved Estimator (Q4570260) (← links)
• Recovery of periodicities hidden in heavy‐tailed noise (Q4603108) (← links)
• Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics (Q4620624) (← links)
• (Q5159467) (← links)
• Matrix Denoising for Weighted Loss Functions and Heterogeneous Signals (Q5162624) (← links)
• A TT-Based Hierarchical Framework for Decomposing High-Order Tensors (Q5221033) (← links)
• Fast Estimation of Approximate Matrix Ranks Using Spectral Densities (Q5380703) (← links)
• DETECTION OF WEAK SIGNALS IN HIGH-DIMENSIONAL COMPLEX-VALUED DATA (Q5416403) (← links)
• Spiked sample covariance matrices with possibly multiple bulk components (Q5860230) (← links)
• Recursive Algorithms to Update a Numerical Basis Matrix of the Null Space of the Block Row, (Banded) Block Toeplitz, and Block Macaulay Matrix (Q6039266) (← links)
• Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis (Q6107215) (← links)
• Exact and approximate computation of critical values of the largest root test in high dimension (Q6116995) (← links)
• A CLT for the LSS of large-dimensional sample covariance matrices with diverging spikes (Q6183780) (← links)
• Power enhancement for dimension detection of Gaussian signals (Q6621329) (← links)
• Sparse and integrative principal component analysis for multiview data (Q6635573) (← links)