Unbiased MLMC-based Variational Bayes for Likelihood-Free Inference
From MaRDI portal
Publication:5088790
DOI10.1137/21M1449051zbMath1492.65012arXiv2109.12728OpenAlexW3202436434MaRDI QIDQ5088790
Zhenghang Xu, Zhijian He, Xiaoqun Wang
Publication date: 13 July 2022
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.12728
Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Monte Carlo methods (65C05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Multilevel simulation of functionals of Bernoulli random variables with application to basket credit derivatives
- On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
- Monte Carlo complexity of global solution of integral equations
- Scrambled net variance for integrals of smooth functions
- Weighted quantile-based estimation for a class of transformation distributions.
- Likelihood-free Bayesian estimation of multivariate quantile distributions
- Variational Bayes with synthetic likelihood
- Likelihood-free Bayesian inference for \(\alpha\)-stable models
- Decision-making under uncertainty: using MLMC for efficient estimation of EVPPI
- Antithetic multilevel Monte Carlo estimation for multi-dimensional SDEs without Lévy area simulation
- Unbiased Estimation with Square Root Convergence for SDE Models
- Multilevel Monte Carlo Methods
- Multilevel Monte Carlo estimation of expected information gains
- Improving Approximate Bayesian Computation via Quasi-Monte Carlo
- Multilevel Monte Carlo Path Simulation
- Monte Carlo maximum likelihood estimation for non-Gaussian state space models
- MLMC for Nested Expectations
- A likelihood-based method for analysing longitudinal binary responses
- Unbiased Estimators and Multilevel Monte Carlo
- Expectation Propagation for Likelihood-Free Inference
- A Strong Law of Large Numbers for Scrambled Net Integration
- Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs
- Transformations and Hardy--Krause Variation
This page was built for publication: Unbiased MLMC-based Variational Bayes for Likelihood-Free Inference