Pages that link to "Item:Q1355737"
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The following pages link to Weak convergence and optimal scaling of random walk Metropolis algorithms (Q1355737):
Displaying 50 items.
- Rate-optimal Bayesian intensity smoothing for inhomogeneous Poisson processes (Q899533) (← links)
- The random walk Metropolis: linking theory and practice through a case study (Q903288) (← links)
- Optimal scaling for random walk Metropolis on spherically constrained target densities (Q931379) (← links)
- Optimal smoothing of nonlinear dynamic systems via Monte Carlo Markov chains (Q958256) (← links)
- Dynamic detection of change points in long time series (Q995801) (← links)
- Convergence of adaptive mixtures of importance sampling schemes (Q997389) (← links)
- Optimal scaling for partially updating MCMC algorithms (Q997939) (← links)
- On the geometrical convergence of Gibbs sampler in \(\mathbb R^d\) (Q1268005) (← links)
- A geometric interpretation of the Metropolis-Hastings algorithm. (Q1431212) (← links)
- Optimal scaling for various Metropolis-Hastings algorithms. (Q1431214) (← links)
- Dealing with multiple local modalities in latent class profile analysis (Q1615156) (← links)
- Asymptotic analysis of the random walk metropolis algorithm on ridged densities (Q1617150) (← links)
- Sequential Monte Carlo EM for multivariate probit models (Q1623415) (← links)
- Efficient MCMC for temporal epidemics via parameter reduction (Q1623715) (← links)
- Merging MCMC subposteriors through Gaussian-process approximations (Q1631561) (← links)
- Designing simple and efficient Markov chain Monte Carlo proposal kernels (Q1631594) (← links)
- Hierarchical models: local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs (Q1658452) (← links)
- A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
- Model selection for time series of count data (Q1662312) (← links)
- A Dirichlet form approach to MCMC optimal scaling (Q1679476) (← links)
- Geometric MCMC for infinite-dimensional inverse problems (Q1685436) (← links)
- On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
- Optimal strategies for the control of autonomous vehicles in data assimilation (Q1691207) (← links)
- Investigation of the sampling performance of ensemble-based methods with a simple reservoir model (Q1705872) (← links)
- MEXIT: maximal un-coupling times for stochastic processes (Q1713460) (← links)
- Mathematical modeling of the cGAS pathway reveals robustness of DNA sensing to TREX1 feedback (Q1717278) (← links)
- Simultaneous fitting of Bayesian penalised quantile splines (Q1727924) (← links)
- Efficient strategy for the Markov chain Monte Carlo in high-dimension with heavy-tailed target probability distribution (Q1750100) (← links)
- Inference of the stochastic MAPK pathway by modified diffusion bridge method (Q1788913) (← links)
- A Bayesian spatio-temporal model for precipitation extremes -- STOR team contribution to the EVA2017 challenge (Q1792629) (← links)
- From Metropolis to diffusions: Gibbs states and optimal scaling. (Q1879490) (← links)
- Optimal scaling of MaLa for nonlinear regression. (Q1879917) (← links)
- Bayesian model choice of grouped \(t\)-copula (Q1930463) (← links)
- Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions (Q1931320) (← links)
- Adaptive Gibbs samplers and related MCMC methods (Q1948684) (← links)
- Generalised linear mixed model analysis via sequential Monte Carlo sampling (Q1951779) (← links)
- A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: a prior sensitivity analysis (Q1985373) (← links)
- Uncertainty estimation in equality-constrained MAP and maximum likelihood estimation with applications to system identification and state estimation (Q1987286) (← links)
- Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection (Q1988268) (← links)
- Weak convergence and optimal tuning of the reversible jump algorithm (Q1997557) (← links)
- f-SAEM: a fast stochastic approximation of the EM algorithm for nonlinear mixed effects models (Q2008004) (← links)
- Making inference of British household's happiness efficiency: a Bayesian latent model (Q2031104) (← links)
- Multivariate isotropic random fields on spheres: nonparametric Bayesian modeling and \(L^p\) fast approximations (Q2044381) (← links)
- Efficiency of delayed-acceptance random walk metropolis algorithms (Q2054541) (← links)
- A Metropolis-class sampler for targets with non-convex support (Q2058894) (← links)
- Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data (Q2066727) (← links)
- Updating variational Bayes: fast sequential posterior inference (Q2066743) (← links)
- MALA with annealed proposals: a generalization of locally and globally balanced proposal distributions (Q2066745) (← links)
- Inverse parameter estimation to predict material parameters of the Cowper-Symonds constitutive equation in electrohydraulic forming process (Q2074241) (← links)
- Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates (Q2075323) (← links)
