Pages that link to "Item:Q959776"
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The following pages link to Bayesian inference for differential equations (Q959776):
Displaying 28 items.
- \(\sqrt{n}\)-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing (Q442091) (← links)
- Bayesian solution uncertainty quantification for differential equations (Q516553) (← links)
- Probabilistic approximations of ODEs based bio-pathway dynamics (Q533363) (← links)
- Asymptotic Bayesian estimation of a first order equation with small diffusion (Q796167) (← links)
- Statistical inference for dynamical systems: a review (Q895009) (← links)
- Bayesian two-step estimation in differential equation models (Q908270) (← links)
- Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes (Q1637514) (← links)
- Approximate Bayesian inference in semi-mechanistic models (Q1703816) (← links)
- Parameter inference to motivate asymptotic model reduction: an analysis of the gibberellin biosynthesis pathway (Q1712651) (← links)
- A Bayesian inference approach: estimation of heat flux from fin for perturbed temperature data (Q1789144) (← links)
- A role for symmetry in the Bayesian solution of differential equations (Q2057339) (← links)
- Two-step Bayesian methods for generalized regression driven by partial differential equations (Q2137034) (← links)
- Bayes linear analysis for ordinary differential equations (Q2242017) (← links)
- Bayesian inference of a directional brain network model for intracranial EEG data (Q2291289) (← links)
- High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling (Q2437732) (← links)
- Parameter uncertainty in biochemical models described by ordinary differential equations (Q2437736) (← links)
- Inferring the unknown parameters in differential equation by Gaussian process regression with constraint (Q2675742) (← links)
- Bayesian analysis of non-linear differential equation models with application to a gut microbial ecosystem (Q3013938) (← links)
- The Importance and Challenges of Bayesian Parameter Learning in Systems Biology (Q4928947) (← links)
- Statistical finite elements for misspecified models (Q5073255) (← links)
- Bayesian penalized smoothing approaches in models specified using differential equations with unknown error distributions (Q5130561) (← links)
- Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks (Q6063150) (← links)
- Modeling the complexity of elliptic black hole solution in 4D using Hamiltonian Monte Carlo with stacked neural networks (Q6083732) (← links)
- Application of one‐step method to parameter estimation in ODE models (Q6089166) (← links)
- Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction (Q6158090) (← links)
- Parameter identification framework of nonlinear dynamical systems with Markovian switching (Q6553640) (← links)
- Differential equations in data analysis (Q6602133) (← links)
- Neural networks assisted Metropolis-Hastings for Bayesian estimation of critical exponent on elliptic black hole solution in 4D using quantum perturbation theory (Q6618109) (← links)
