Bayesian Synthetic Likelihood
From MaRDI portal
Publication:91055
DOI10.1080/10618600.2017.1302882OpenAlexW2593094133WikidataQ62899324 ScholiaQ62899324MaRDI QIDQ91055
D. J. Nott, Leah South, Christopher C Drovandi
Publication date: 31 July 2017
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: http://wrap.warwick.ac.uk/85427/7/WRAP-Bayesian-synthetic-likelihood-Lee-2017.pdf
approximate Bayesian computationindirect inferencepseudo-marginal methodssynthetic likelihoodBayesian indirect likelihood
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Cites Work
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- The pseudo-marginal approach for efficient Monte Carlo computations
- Sparse inverse covariance estimation with the graphical lasso
- A well-conditioned estimator for large-dimensional covariance matrices
- A comparative review of dimension reduction methods in approximate Bayesian computation
- Bayesian indirect inference using a parametric auxiliary model
- Numerical maximum likelihood estimation for the \(g\)-and-\(k\) and generalized \(g\)-and-\(h\) distributions
- Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation
- Bayesian model comparison with un-normalised likelihoods
- Approximate Bayesian computational methods
- A comparison of inferential methods for highly nonlinear state space models in ecology and epidemiology
- Mathematical modeling of corneal epithelial wound healing
- A taxonomy of global optimization methods based on response surfaces
- The use of a single pseudo-sample in approximate Bayesian computation
- Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation
- Particle Markov Chain Monte Carlo Methods
- Approximate Bayesian Computation: A Nonparametric Perspective
- Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
- Sequential Monte Carlo without likelihoods
- Unbiased Estimation of Some Multivariate Probability Densities and Related Functions
- Alive SMC2: Bayesian model selection for low‐count time series models with intractable likelihoods
- Pre-processing for approximate Bayesian computation in image analysis