Pages that link to "Item:Q2391442"

The following pages link to A Bayesian approach to sparse dynamic network identification (Q2391442):

Displaying 45 items.

• Sparse network identifiability via compressed sensing (Q273889) (← links)
• Sparse plus low rank network identification: a nonparametric approach (Q503197) (← links)
• Variance analysis of linear SIMO models with spatially correlated noise (Q510089) (← links)
• Four encounters with system identification (Q693680) (← links)
• Errors-in-variables identification in dynamic networks-consistency results for an instrumental variable approach (Q901094) (← links)
• Identifiability of linear dynamic networks (Q1640269) (← links)
• An empirical Bayes approach to identification of modules in dynamic networks (Q1641057) (← links)
• Mixed \(\ell_2\) and \(\ell_1\)-norm regularization for adaptive detrending with ARMA modeling (Q1661291) (← links)
• Prediction error identification of linear dynamic networks with rank-reduced noise (Q1716605) (← links)
• Blind identification of fully observed linear time-varying systems via sparse recovery (Q1737658) (← links)
• The harmonic analysis of kernel functions (Q1797097) (← links)
• Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences (Q2020862) (← links)
• Generic identifiability of subnetworks in a linear dynamic network: the full measurement case (Q2071931) (← links)
• Nonparametric identification of Kronecker networks (Q2081800) (← links)
• Sparse estimation in linear dynamic networks using the stable spline horseshoe prior (Q2097847) (← links)
• A scalable multi-step least squares method for network identification with unknown disturbance topology (Q2139411) (← links)
• A frequency domain approach for local module identification in dynamic networks (Q2151886) (← links)
• Sparse Bayesian deep learning for dynamic system identification (Q2165994) (← links)
• Abstractions of linear dynamic networks for input selection in local module identification (Q2184521) (← links)
• High precision variational Bayesian inference of sparse linear networks (Q2188259) (← links)
• Identification of affinely parameterized state-space models with unknown inputs (Q2208595) (← links)
• Physics informed topology learning in networks of linear dynamical systems (Q2288709) (← links)
• Maximum entropy vector kernels for MIMO system identification (Q2409365) (← links)
• PO-MOESP subspace identification of directed acyclic graphs with unknown topology (Q2409410) (← links)
• On optimal input design for networked systems (Q2409443) (← links)
• Model identification of a network as compressing sensing (Q2434442) (← links)
• A microscopic-view infection model based on linear systems (Q2658058) (← links)
• Topology identification of heterogeneous networks: identifiability and reconstruction (Q2662295) (← links)
• Dynamic network reconstruction from heterogeneous datasets (Q2662303) (← links)
• Learning linear modules in a dynamic network using regularized kernel-based methods (Q2665089) (← links)
• On semiseparable kernels and efficient implementation for regularized system identification and function estimation (Q2665635) (← links)
• Generalized System Identification with Stable Spline Kernels (Q4553782) (← links)
• Identification of Dynamical Networks (Q4625771) (← links)
• (Q4969209) (← links)
• Complex networks identification using Bayesian model with independent Laplace prior (Q4983647) (← links)
• A shift in paradigm for system identification (Q5216416) (← links)
• A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems (Q5254793) (← links)
• Hierarchical subspace identification of directed acyclic graphs (Q5265893) (← links)
• A real-time identification method of network structure in complex network systems (Q6111213) (← links)
• Identification of low rank vector processes (Q6164044) (← links)
• Topology identification of sparse network: a stochastic variational Bayesian approach (Q6165349) (← links)
• Dealing with collinearity in large-scale linear system identification using Gaussian regression (Q6574449) (← links)
• Bayesian inference and optimisation of stochastic dynamical networks (Q6601014) (← links)
• Frequency domain identification of passive local modules in linear dynamic networks (Q6648497) (← links)
• Deep networks for system identification: a survey (Q6659190) (← links)