Pages that link to "Item:Q2884604"
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The following pages link to Experimental design for biological systems (Q2884604):
Displaying 21 items.
- A differentiable reformulation for E-optimal design of experiments in nonlinear dynamic biosystems (Q494485) (← links)
- Graph problems arising from parameter identification of discrete dynamical systems (Q634788) (← links)
- Identification of microbiota dynamics using robust parameter estimation methods (Q680435) (← links)
- How to choose biomarkers in view of parameter estimation (Q1711958) (← links)
- Optimal spatial monitoring of populations described by reaction-diffusion models (Q2068762) (← links)
- Least-squares finite element method for ordinary differential equations (Q2088807) (← links)
- Experimental design for dynamics identification of cellular processes (Q2254657) (← links)
- Maximizing algebraic connectivity for certain families of graphs (Q2261533) (← links)
- A sparse control approach to optimal sensor placement in PDE-constrained parameter estimation problems (Q2334623) (← links)
- Optimal design of non-equilibrium experiments for genetic network interrogation (Q2343702) (← links)
- A global parallel model based design of experiments method to minimize model output uncer\-tainty (Q2429426) (← links)
- Influence of non-linearity to the Optimal Experimental Design demonstrated by a biological system (Q2855713) (← links)
- Optimal Experimental Design for Inverse Problems with State Constraints (Q3174786) (← links)
- A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems (Q3464430) (← links)
- Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (Q4582677) (← links)
- Prediction uncertainty and optimal experimental design for learning dynamical systems (Q4591831) (← links)
- Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems (Q4683935) (← links)
- Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes (Q5230651) (← links)
- Experimental design and inverse problems in plant biological modeling (Q5745495) (← links)
- Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review (Q5854065) (← links)
- Deep reinforcement learning in finite-horizon to explore the most probable transition pathway (Q6118140) (← links)
