Pages that link to "Item:Q2437738"
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The following pages link to Autoregressive models for gene regulatory network inference: sparsity, stability and causality issues (Q2437738):
Displaying 20 items.
- Regularized estimation in sparse high-dimensional time series models (Q127754) (← links)
- Sparse network identifiability via compressed sensing (Q273889) (← links)
- A posterior probability approach for gene regulatory network inference in genetic perturbation data (Q326558) (← links)
- Operator-valued kernel-based vector autoregressive models for network inference (Q493746) (← links)
- Strong selection consistency of Bayesian vector autoregressive models based on a pseudo-likelihood approach (Q820793) (← links)
- High dimensional regression for regenerative time-series: an application to road traffic modeling (Q830094) (← links)
- Granger causality-based synaptic weights estimation for analyzing neuronal networks (Q1704884) (← links)
- Inference of biochemical S-systems via mixed-variable multiobjective evolutionary optimization (Q1705330) (← links)
- Roles of clustering coefficient for the network reconstruction (Q1721001) (← links)
- Regularized joint estimation of related vector autoregressive models (Q2002726) (← links)
- Inference of gene regulatory networks using Bayesian nonparametric regression and topology information (Q2013987) (← links)
- Inference of genetic regulatory networks with regulatory hubs using vector autoregressions and automatic relevance determination with model selections (Q2170542) (← links)
- Testing for high-dimensional network parameters in auto-regressive models (Q2283570) (← links)
- Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression (Q3165538) (← links)
- Identifying dynamical time series model parameters from equilibrium samples, with application to gene regulatory networks (Q5142250) (← links)
- Inference on autoregulation in gene expression with variance-to-mean ratio (Q6040838) (← links)
- Regularized Estimation in High-Dimensional Vector Auto-Regressive Models Using Spatio-Temporal Information (Q6069868) (← links)
- Rate-optimal robust estimation of high-dimensional vector autoregressive models (Q6117053) (← links)
- High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling (Q6631703) (← links)
- Scaled envelope models for multivariate time series (Q6656664) (← links)