Pages that link to "Item:Q122160"
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The following pages link to The pseudo-marginal approach for efficient Monte Carlo computations (Q122160):
Displaying 50 items.
- Bayesian Synthetic Likelihood (Q91055) (← links)
- Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach (Q91059) (← links)
- cPseudoMaRg (Q122165) (← links)
- An extended empirical saddlepoint approximation for intractable likelihoods (Q127258) (← links)
- A Repelling–Attracting Metropolis Algorithm for Multimodality (Q137846) (← links)
- Bayesian indirect inference using a parametric auxiliary model (Q254412) (← links)
- Delayed acceptance particle MCMC for exact inference in stochastic kinetic models (Q261048) (← links)
- Approximate Bayesian computation by modelling summary statistics in a quasi-likelihood framework (Q273605) (← links)
- Bayesian inference for age-structured population model of infectious disease with application to varicella in Poland (Q309190) (← links)
- Predictive modeling of cholera outbreaks in Bangladesh (Q312893) (← links)
- Optimal scaling for the pseudo-marginal random walk Metropolis: insensitivity to the noise generating mechanism (Q340131) (← links)
- A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design (Q340870) (← links)
- Coupling random inputs for parameter estimation in complex models (Q341127) (← links)
- Stability of noisy Metropolis-Hastings (Q341137) (← links)
- Augmentation schemes for particle MCMC (Q341152) (← links)
- Bayesian object matching (Q374120) (← links)
- Static-parameter estimation in piecewise deterministic processes using particle Gibbs samplers (Q457269) (← links)
- Comparison of asymptotic variances of inhomogeneous Markov chains with application to Markov chain Monte Carlo methods (Q464192) (← links)
- Bayesian inference for nonlinear structural time series models (Q469553) (← links)
- A Bayesian approach to constrained single- and multi-objective optimization (Q506449) (← links)
- Exploiting multi-core architectures for reduced-variance estimation with intractable likelihoods (Q516453) (← links)
- Exact and approximate Bayesian inference for low integer-valued time series models with intractable likelihoods (Q516464) (← links)
- Bayesian model comparison with un-normalised likelihoods (Q518247) (← links)
- Particle MCMC algorithms and architectures for accelerating inference in state-space models (Q518646) (← links)
- On some properties of Markov chain Monte Carlo simulation methods based on the particle filter (Q528088) (← links)
- Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models (Q667671) (← links)
- Nonlinear autoregressive model with stochastic volatility innovations: semiparametric and Bayesian approach (Q724486) (← links)
- Two-stage Metropolis-Hastings for tall data (Q724596) (← links)
- Bayesian inference for circular distributions with unknown normalising constants (Q730841) (← links)
- Improved estimators for the GMANOVA problem with application to Monte Carlo simulation (Q805111) (← links)
- Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms (Q830475) (← links)
- High dimensional dynamic stochastic copula models (Q888326) (← links)
- Bayesian parameter inference for partially observed stopped processes (Q892438) (← links)
- Exact likelihood-free Markov chain Monte Carlo for elliptically contoured distributions (Q906230) (← links)
- Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals (Q1274894) (← links)
- Markov chain Monte Carlo with the integrated nested Laplace approximation (Q1616779) (← links)
- Which ergodic averages have finite asymptotic variance? (Q1617127) (← links)
- Simulation-based Bayesian inference for epidemic models (Q1621323) (← links)
- Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation (Q1623396) (← links)
- A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice (Q1623706) (← links)
- Piecewise deterministic Markov processes for continuous-time Monte Carlo (Q1630397) (← links)
- Modelling and computation using NCoRM mixtures for density regression (Q1631587) (← links)
- An approximate likelihood perspective on ABC methods (Q1636827) (← links)
- Bayesian estimation of agent-based models (Q1655642) (← links)
- Accelerating pseudo-marginal MCMC using Gaussian processes (Q1662056) (← links)
- Model selection for time series of count data (Q1662312) (← links)
- Mode jumping MCMC for Bayesian variable selection in GLMM (Q1663135) (← links)
- Bayesian estimation of state space models using moment conditions (Q1676368) (← links)
- Efficient importance sampling in low dimensions using affine arithmetic (Q1695502) (← links)
- Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models (Q1695514) (← links)
