Discrepancy-based inference for intractable generative models using quasi-Monte Carlo
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Publication:6158226
DOI10.1214/23-ejs2131arXiv2106.11561OpenAlexW4382318823MaRDI QIDQ6158226
François-Xavier Briol, Johanna Meier, Ziang Niu
Publication date: 31 May 2023
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2106.11561
minimum distance estimationdiscrepancyapproximate Bayesian computationquasi-Monte Carlogenerative modelssample complexityintractable models inference
Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Monte Carlo methods (65C05)
Cites Work
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- Bivariate beta-generated distributions with applications to well-being data
- On the rate of convergence in Wasserstein distance of the empirical measure
- Flexible bivariate beta distributions
- On the \(L_2\)-discrepancy for anchored boxes
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Robustness of ranking and selection rules using generalised \(g\)-and-\(k\) distributions
- A bivariate beta distribution.
- Asymptotic bias of stochastic gradient search
- Computer methods for sampling from gamma, beta, Poisson and binomial distributions
- Support points
- Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
- Likelihood-free approximate Gibbs sampling
- Approximate Bayesian computations to fit and compare insurance loss models
- Fast CBC construction of randomly shifted lattice rules achieving \(\mathcal{O}(n^{- 1 + \delta})\) convergence for unbounded integrands over \(\mathbb{R}^s\) in weighted spaces with POD weights
- Probabilistic integration: a role in statistical computation?
- Quasi-random numbers for copula models
- On minimum Kantorovich distance estimators
- Hilbert space embeddings and metrics on probability measures
- Some Results on the Complexity of Numerical Integration
- Improving Approximate Bayesian Computation via Quasi-Monte Carlo
- Halton Sequences Avoid the Origin
- Support Vector Machines
- Minimum Distance and Robust Estimation
- Integral Probability Metrics and Their Generating Classes of Functions
- A Multivariate Faa di Bruno Formula with Applications
- Generalized Halton sequences in 2008
- On parameter estimation with the Wasserstein distance
- Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks
- The frontier of simulation-based inference
- Bayesian inference for a flexible class of bivariate beta distributions
- Approximate Bayesian Computation with the Wasserstein Distance
- Multidimensional Variation for Quasi-Monte Carlo
- Transformations and Hardy--Krause Variation
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