The following pages link to Bayesian Synthetic Likelihood (Q91055):
Displaying 50 items.
- BSL (Q41461) (← links)
- Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso (Q91057) (← links)
- Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach (Q91059) (← links)
- An extended empirical saddlepoint approximation for intractable likelihoods (Q127258) (← links)
- On Bayesian testing of additive conjoint measurement axioms using synthetic likelihood (Q725285) (← links)
- Statistical approach for parameter identification by Turing patterns (Q827856) (← links)
- Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms (Q830475) (← links)
- Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology (Q1662873) (← links)
- Variational Bayes with synthetic likelihood (Q1704030) (← links)
- Bayesian Monte Carlo testing with one-dimensional measures of evidence (Q1715820) (← links)
- Gaussian process modelling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria (Q1728645) (← links)
- Likelihood-free inference in high dimensions with synthetic likelihood (Q1796957) (← links)
- Particle methods for stochastic differential equation mixed effects models (Q2057332) (← links)
- Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
- Detecting conflicting summary statistics in likelihood-free inference (Q2058909) (← links)
- Approximate Bayesian conditional copulas (Q2076116) (← links)
- Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors (Q2080374) (← links)
- Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis (Q2120013) (← links)
- A comparison of likelihood-free methods with and without summary statistics (Q2141917) (← links)
- Likelihood-free inference with deep Gaussian processes (Q2157533) (← links)
- Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes (Q2675612) (← links)
- Pseudo-Likelihoods for Bayesian Inference (Q2963082) (← links)
- (Q5054640) (← links)
- Marginally Calibrated Deep Distributional Regression (Q5066406) (← links)
- Robust Approximate Bayesian Inference With Synthetic Likelihood (Q5066481) (← links)
- Efficient Bayesian Synthetic Likelihood With Whitening Transformations (Q5083353) (← links)
- Likelihood-free stochastic approximation EM for inference in complex models (Q5086194) (← links)
- CONTRIBUTIONS TO COMPUTATIONAL BAYESIAN STATISTICS (Q5222156) (← links)
- Multivariate geometric anisotropic Cox processes (Q6049801) (← links)
- Reflections on Bayesian inference and Markov chain Monte Carlo (Q6059418) (← links)
- A Bayesian Approach to Modeling Biological Pattern Formation with Limited Data (Q6074542) (← links)
- ABC of the future (Q6089891) (← links)
- Likelihood-free inference by ratio estimation (Q6121607) (← links)
- Finding our way in the dark: approximate MCMC for approximate Bayesian methods (Q6121616) (← links)
- Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter (Q6121617) (← links)
- Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods (Q6122057) (← links)
- Approximate Bayesian computation using asymptotically normal point estimates (Q6136276) (← links)
- Data based quantification of synchronization (Q6154251) (← links)
- Modularized Bayesian analyses and cutting feedback in likelihood-free inference (Q6163407) (← links)
- On predictive inference for intractable models via approximate Bayesian computation (Q6171773) (← links)
- Generalised likelihood profiles for models with intractable likelihoods (Q6190673) (← links)
- Sequential Bayesian experimental design for implicit models via mutual information (Q6201423) (← links)
- Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation (Q6202141) (← links)
- Computing Bayes: from then `til now (Q6540226) (← links)
- Approximating Bayes in the 21st century (Q6540227) (← links)
- Past, present and future of software for Bayesian inference (Q6540228) (← links)
- Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization (Q6552527) (← links)
- Black-box Bayesian inference for agent-based models (Q6567092) (← links)
- Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation (Q6622628) (← links)
- Generalized Bayesian Inference for Discrete Intractable Likelihood (Q6631730) (← links)
