Pages that link to "Item:Q1752009"
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The following pages link to Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo (Q1752009):
Displaying 9 items.
- Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology (Q1662873) (← links)
- Principles of experimental design for big data analysis (Q1750251) (← links)
- Approximate and exact optimal designs for \(2^k\) factorial experiments for generalized linear models via second order cone programming (Q2029231) (← links)
- Bayesian \(A\)-optimal design of experiment with quantitative and qualitative responses (Q2300104) (← links)
- Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter (Q6121617) (← links)
- Bayesian experimental design without posterior calculations: an adversarial approach (Q6122019) (← links)
- Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing (Q6178392) (← links)
- Sampling constrained continuous probability distributions: a review (Q6602026) (← links)
- Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence (Q6631076) (← links)