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.
- Revisiting the Gelman-Rubin diagnostic (Q2075706) (← links)
- Bayesian nonparametric change point detection for multivariate time series with missing observations (Q2077010) (← links)
- A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes (Q2080349) (← links)
- Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection (Q2080371) (← links)
- Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey (Q2080736) (← links)
- High-dimensional scaling limits of piecewise deterministic sampling algorithms (Q2094570) (← links)
- Generating MCMC proposals by randomly rotating the regular simplex (Q2111065) (← links)
- Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC (Q2112832) (← links)
- Nonlinear sparse Bayesian learning for physics-based models (Q2126972) (← links)
- Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics (Q2128065) (← links)
- Jump Markov chains and rejection-free Metropolis algorithms (Q2135939) (← links)
- An adaptive multiple-try Metropolis algorithm (Q2137054) (← links)
- Neglected chaos in international stock markets: Bayesian analysis of the joint return-volatility dynamical system (Q2147635) (← links)
- A long-term care multi-state Markov model revisited: a Markov chain Monte Carlo approach (Q2157223) (← links)
- Bayesian parameter estimation for the Swift model of eye-movement control during reading (Q2177484) (← links)
- Copula multivariate GARCH model with constrained Hamiltonian Monte Carlo (Q2178935) (← links)
- Robust Bayesian model selection for heavy-tailed linear regression using finite mixtures (Q2180257) (← links)
- Unbiased Markov chain Monte Carlo for intractable target distributions (Q2192323) (← links)
- Optimal scaling of random-walk Metropolis algorithms on general target distributions (Q2196541) (← links)
- Markov chain Monte Carlo algorithms with sequential proposals (Q2209708) (← links)
- Subsampling sequential Monte Carlo for static Bayesian models (Q2209734) (← links)
- Localization for MCMC: sampling high-dimensional posterior distributions with local structure (Q2214525) (← links)
- A framework for adaptive MCMC targeting multimodal distributions (Q2215766) (← links)
- LGM split sampler: an efficient MCMC sampling scheme for latent Gaussian models (Q2218042) (← links)
- Clustering non-linear interactions in factor analysis (Q2221225) (← links)
- Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov chain Monte Carlo (Q2221416) (← links)
- Oscillation of metropolis-Hastings and simulated annealing algorithms around LASSO estimator (Q2229034) (← links)
- Counterexamples for optimal scaling of Metropolis-Hastings chains with rough target densities (Q2240841) (← links)
- A Monte Carlo integration approach to estimating drift and minorization coefficients for Metropolis-Hastings samplers (Q2244839) (← links)
- Speculative bubbles in present-value models: a Bayesian Markov-switching state space approach (Q2246584) (← links)
- Proposals which speed up function-space MCMC (Q2252357) (← links)
- Bayesian mixed-effects model for the analysis of a series of FRAP images (Q2258448) (← links)
- On the flexibility of the design of multiple try Metropolis schemes (Q2259352) (← links)
- Spatial inference of nitrate concentrations in groundwater (Q2260146) (← links)
- Hierarchical models and tuning of random walk Metropolis algorithms (Q2272872) (← links)
- Random walk Metropolis algorithm in high dimension with non-Gaussian target distributions (Q2289786) (← links)
- Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior (Q2297232) (← links)
- Weight-preserving simulated tempering (Q2302464) (← links)
- A hierarchical model for the joint mortality analysis of pension scheme data with missing covariates (Q2306092) (← links)
- Bayesian cylindrical data modeling using Abe-Ley mixtures (Q2307289) (← links)
- Bayesian model selection using automatic relevance determination for nonlinear dynamical systems (Q2309843) (← links)
- Dating and localizing an invasion from post-introduction data and a coupled reaction-diffusion-absorption model (Q2313967) (← links)
- Non-stationary phase of the MALA algorithm (Q2315120) (← links)
- Subsampling MCMC -- an introduction for the survey statistician (Q2316968) (← links)
- Spatially adaptive Bayesian image reconstruction through locally-modulated Markov random field models (Q2318627) (← links)
- Dynamic stochastic block models: parameter estimation and detection of changes in community structure (Q2329743) (← links)
- Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins (Q2329809) (← links)
- Bayesian approach for the zero-modified Poisson-Lindley regression model (Q2330491) (← links)
- Diffusion limit for the random walk Metropolis algorithm out of stationarity (Q2337836) (← links)
- A time-varying parameter structural model of the UK economy (Q2338502) (← links)
