Pages that link to "Item:Q641159"
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The following pages link to The generalized shrinkage estimator for the analysis of functional connectivity of brain signals (Q641159):
Displaying 19 items.
- Functional mixed effects wavelet estimation for spectra of replicated time series (Q315394) (← links)
- Analyzing complex functional brain networks: fusing statistics and network science to understand the brain (Q389932) (← links)
- Data-driven shrinkage of the spectral density matrix of a high-dimensional time series (Q489160) (← links)
- Statistical methods and challenges in connectome genetics (Q1642390) (← links)
- Dynamic GSCANO (generalized structured canonical correlation analysis) with applications to the analysis of effective connectivity in functional neuroimaging data (Q1659062) (← links)
- Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
- Functional random effects modeling of brain shape and connectivity (Q2080727) (← links)
- Coherence-based time series clustering for statistical inference and visualization of brain connectivity (Q2318670) (← links)
- Spectral analysis of high-dimensional time series (Q2326992) (← links)
- Modeling dependence via copula of functionals of Fourier coefficients (Q2665795) (← links)
- Time series graphical Lasso and sparse VAR estimation (Q2674503) (← links)
- A class of Stein-rules in multivariate regression model with structural changes (Q2791830) (← links)
- Time‐Dependent Dual‐Frequency Coherence in Multivariate Non‐Stationary Time Series (Q3120657) (← links)
- A Generalized Multivariate Autoregressive (GmAR)-Based Approach for EEG Source Connectivity Analysis (Q4573462) (← links)
- Exploring dependence between brain signals in a monkey during learning (Q5397951) (← links)
- Discussion: Time-threshold maps: using information from wavelet reconstructions with all threshold values simultaneously (Q5965678) (← links)
- Scalable Bayesian matrix normal graphical models for brain functional networks (Q6050951) (← links)
- Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation (Q6115549) (← links)
- Local Whittle estimation of high-dimensional long-run variance and precision matrices (Q6183868) (← links)
