Pages that link to "Item:Q2834439"
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The following pages link to Bayesian optimization for likelihood-free inference of simulator-based statistical models (Q2834439):
Displaying 49 items.
- Bayesian Synthetic Likelihood (Q91055) (← links)
- An extended empirical saddlepoint approximation for intractable likelihoods (Q127258) (← links)
- On Bayesian testing of additive conjoint measurement axioms using synthetic likelihood (Q725285) (← links)
- Bayesian-validated computer-simulation surrogates for optimization and design: Error estimates and applications (Q1404656) (← links)
- Inverse reinforcement learning from summary data (Q1631805) (← links)
- An approximate likelihood perspective on ABC methods (Q1636827) (← links)
- A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models (Q1660138) (← links)
- Accelerating pseudo-marginal MCMC using Gaussian processes (Q1662056) (← links)
- Approximate maximum likelihood estimation for population genetic inference (Q1670294) (← links)
- Bayesian optimization of empirical model with state-dependent stochastic forcing (Q1694078) (← links)
- Likelihood-free inference via classification (Q1702017) (← links)
- Variational Bayes with synthetic likelihood (Q1704030) (← links)
- Gaussian process modelling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria (Q1728645) (← links)
- Efficient acquisition rules for model-based approximate Bayesian computation (Q1738156) (← links)
- Likelihood-free inference in high dimensions with synthetic likelihood (Q1796957) (← links)
- Distance-learning for approximate Bayesian computation to model a volcanic eruption (Q2040676) (← links)
- Adaptive approximate Bayesian computation tolerance selection (Q2057322) (← links)
- Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
- Bayesian optimization of functional output in inverse problems (Q2069152) (← links)
- Approximate Bayesian conditional copulas (Q2076116) (← links)
- Likelihood-free inference with deep Gaussian processes (Q2157533) (← links)
- Likelihood-free approximate Gibbs sampling (Q2195848) (← links)
- Scalable Bayesian inference for the inverse temperature of a hidden Potts model (Q2297228) (← links)
- Local dimension reduction of summary statistics for likelihood-free inference (Q2302508) (← links)
- Bayesian inference using Gaussian process surrogates in cancer modeling (Q2674119) (← links)
- Reprint of: Bayesian inference using Gaussian process surrogates in cancer modeling (Q2679339) (← links)
- A strategy for Bayesian inference for computationally expensive models with application to the estimation of stem cell properties (Q2846453) (← links)
- Improving Approximate Bayesian Computation via Quasi-Monte Carlo (Q3391198) (← links)
- A Function Emulation Approach for Doubly Intractable Distributions (Q3391448) (← links)
- (Q4969154) (← links)
- Altering Gaussian process to Student-<i>t</i> process for maximum distribution construction (Q5028003) (← links)
- (Q5054640) (← links)
- Robust Approximate Bayesian Inference With Synthetic Likelihood (Q5066481) (← links)
- The frontier of simulation-based inference (Q5073213) (← links)
- Efficient Bayesian Synthetic Likelihood With Whitening Transformations (Q5083353) (← links)
- Handbook of Approximate Bayesian Computation. (Q5146055) (← links)
- Approximate Bayesian inference for simulation and optimization (Q5351611) (← links)
- GP-Select: Accelerating EM Using Adaptive Subspace Preselection (Q5380836) (← links)
- Parameter estimation for biochemical reaction networks using Wasserstein distances (Q5870307) (← links)
- ABC of the future (Q6089891) (← links)
- Likelihood-free inference by ratio estimation (Q6121607) (← links)
- Scalable approximate Bayesian computation for growing network models via extrapolated and sampled summaries (Q6121615) (← links)
- Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods (Q6122057) (← links)
- Modularized Bayesian analyses and cutting feedback in likelihood-free inference (Q6163407) (← links)
- Likelihood-free inference in state-space models with unknown dynamics (Q6190645) (← links)
- Sequential Bayesian experimental design for implicit models via mutual information (Q6201423) (← links)
- Approximating Bayes in the 21st century (Q6540227) (← links)
- Past, present and future of software for Bayesian inference (Q6540228) (← links)
- Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates (Q6573308) (← links)
