Pages that link to "Item:Q3225789"
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The following pages link to High-Dimensional ODEs Coupled With Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification (Q3225789):
Displaying 22 items.
- Statistical inference in mechanistic models: time warping for improved gradient matching (Q99665) (← links)
- Asymptotically efficient parameter estimation for ordinary differential equations (Q724430) (← links)
- Bayesian analysis of mixed-effect regression models driven by ordinary differential equations (Q2040659) (← links)
- Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations (Q2143016) (← links)
- Identifiability analysis of linear ordinary differential equation systems with a single trajectory (Q2148033) (← links)
- A joint estimation approach to sparse additive ordinary differential equations (Q2172119) (← links)
- Bayesian inference of a directional brain network model for intracranial EEG data (Q2291289) (← links)
- Timing observations of diffusions (Q2302499) (← links)
- Investigate Data Dependency for Dynamic Gene Regulatory Network Identification through High-dimensional Differential Equation Approach (Q2821005) (← links)
- Topological sensitivity analysis for systems biology (Q2962261) (← links)
- Estimating time‐varying directed gene regulation networks (Q4556708) (← links)
- Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling (Q4975410) (← links)
- APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
- Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach (Q5231494) (← links)
- Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models (Q5881081) (← links)
- Estimating Varying Coefficients for Partial Differential Equation Models (Q6056305) (← links)
- Kernel Ordinary Differential Equations (Q6110694) (← links)
- Bayesian detection of event spreading pattern from multivariate binary time series (Q6171852) (← links)
- Calibrating multi-dimensional complex ODE from noisy data via deep neural networks (Q6556771) (← links)
- Identification of partial-differential-equations-based models from noisy data with splines (Q6593371) (← links)
- Differential equations in data analysis (Q6602133) (← links)
- Modeling trajectories using functional linear differential equations (Q6665524) (← links)
