Pages that link to "Item:Q1702017"

The following pages link to Likelihood-free inference via classification (Q1702017):

Displaying 30 items.

• Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach (Q91059) (← links)
• A likelihood-MPEC approach to target classification (Q1396821) (← links)
• Inverse reinforcement learning from summary data (Q1631805) (← links)
• Likelihood-free inference via classification (Q1702017) (← links)
• Variational Bayes with synthetic likelihood (Q1704030) (← 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)
• Multimodal image synthesis with conditional implicit maximum likelihood estimation (Q2056101) (← links)
• GADE: a generative adversarial approach to density estimation and its applications (Q2056114) (← links)
• Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
• Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors (Q2080374) (← links)
• Minimax confidence intervals for the sliced Wasserstein distance (Q2137795) (← links)
• A comparison of likelihood-free methods with and without summary statistics (Q2141917) (← links)
• New approximate Bayesian computation algorithm for censored data (Q2155022) (← links)
• Local dimension reduction of summary statistics for likelihood-free inference (Q2302508) (← links)
• Bayesian model-based clustering for longitudinal ordinal data (Q2319476) (← links)
• Bayesian optimization for likelihood-free inference of simulator-based statistical models (Q2834439) (← links)
• Bayesian inference of spreading processes on networks (Q4646921) (← links)
• (Q5054640) (← links)
• The frontier of simulation-based inference (Q5073213) (← links)
• Towards end‐to‐end likelihood‐free inference with convolutional neural networks (Q5117609) (← links)
• (Q5148943) (← links)
• Mining gold from implicit models to improve likelihood-free inference (Q5854829) (← links)
• Classification by likelihood accordance functions (Q6082979) (← links)
• ABC of the future (Q6089891) (← links)
• Likelihood-free inference by ratio estimation (Q6121607) (← links)
• Sequential Bayesian experimental design for implicit models via mutual information (Q6201423) (← links)
• Approximate Bayesian computation via classification (Q6582883) (← links)
• Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study (Q6626829) (← links)