Pages that link to "Item:Q123703"

The following pages link to The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo (Q123703):

Displaying 50 items.

• Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates (Q5057259) (← links)
• Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion (Q5066447) (← links)
• Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains (Q5066738) (← links)
• Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random effects (Q5070482) (← links)
• An Acceleration Strategy for Randomize-Then-Optimize Sampling Via Deep Neural Networks (Q5079536) (← links)
• Bayesian influence diagnostics using normalized functional Bregman divergence (Q5079887) (← links)
• Certified dimension reduction in nonlinear Bayesian inverse problems (Q5082037) (← links)
• MCMC for Markov-switching models—Gibbs sampling vs. marginalized likelihood (Q5082562) (← links)
• Sensitivity analysis and choosing between alternative polytomous IRT models using Bayesian model comparison criteria (Q5086178) (← links)
• Comparing two populations using Bayesian Fourier series density estimation (Q5087934) (← links)
• Bayesian singular value regularization via a cumulative shrinkage process (Q5093737) (← links)
• (Q5094126) (← links)
• Adaptive multiple importance sampling for Gaussian processes (Q5106877) (← links)
• Performance of asymmetric links and correction methods for imbalanced data in binary regression (Q5107415) (← links)
• A Bayesian Approach to Estimating Background Flows from a Passive Scalar (Q5119638) (← links)
• Randomized Algorithms for Lexicographic Inference (Q5126607) (← links)
• Inference of a Mesoscopic Population Model from Population Spike Trains (Q5131155) (← links)
• (Q5149224) (← links)
• Bayesian differential programming for robust systems identification under uncertainty (Q5161165) (← links)
• Maximum Conditional Entropy Hamiltonian Monte Carlo Sampler (Q5161775) (← links)
• (Q5214185) (← links)
• (Q5214205) (← links)
• Modeling Nelson–Siegel Yield Curve Using Bayesian Approach (Q5227363) (← links)
• Geometric integrators and the Hamiltonian Monte Carlo method (Q5230516) (← links)
• Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage (Q5242447) (← links)
• Frequentist Consistency of Variational Bayes (Q5242465) (← links)
• Bayesian Inference of Deterministic Population Growth Models (Q5266589) (← links)
• Metropolized Randomized Maximum Likelihood for Improved Sampling from Multimodal Distributions (Q5269863) (← links)
• Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Then-Optimize Approach (Q5372623) (← links)
• Contribution to the Discussion of the Paper “Geodesic Monte Carlo on Embedded Manifolds” (Q5413942) (← links)
• Rejoinder: Geodesic Monte Carlo on Embedded Manifolds (Q5413943) (← links)
• Hierarchical Bayesian small area estimation for circular data (Q5507366) (← links)
• Stochastic Payments per Claim Incurred (Q5742894) (← links)
• STOCHASTIC CLAIMS RESERVING VIA A BAYESIAN SPLINE MODEL WITH RANDOM LOSS RATIO EFFECTS (Q5745188) (← links)
• Probabilistic reanalysis of storm surge extremes in Europe (Q5854804) (← links)
• Stochastic Gradient Markov Chain Monte Carlo (Q5857155) (← links)
• Modeling nematode population dynamics using a multivariate poisson model with spike and slab variable selection (Q5867722) (← links)
• Bayesian adaptively updated Hamiltonian Monte Carlo with an application to high-dimensional BEKK GARCH models (Q5881698) (← links)
• A shared latent process model to correct for preferential sampling in disease surveillance systems (Q6050931) (← links)
• Bayesian variable selection for non‐Gaussian responses: a marginally calibrated copula approach (Q6052195) (← links)
• Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications (Q6052371) (← links)
• Efficient Bayesian inference with latent Hamiltonian neural networks in no-U-turn sampling (Q6054204) (← links)
• Reflections on Bayesian inference and Markov chain Monte Carlo (Q6059418) (← links)
• A Bayesian latent spatial model for mapping the cortical signature of progression to Alzheimer's disease (Q6059488) (← links)
• The Convergence of Markov Chain Monte Carlo Methods: From the Metropolis Method to Hamiltonian Monte Carlo (Q6059636) (← links)
• Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter (Q6068290) (← links)
• Bayesian nonparametric quantile process regression and estimation of marginal quantile effects (Q6079853) (← links)
• Modeling the complexity of elliptic black hole solution in 4D using Hamiltonian Monte Carlo with stacked neural networks (Q6083732) (← links)
• Modeling geospatial uncertainty of geometallurgical variables with Bayesian models and Hilbert-kriging (Q6084314) (← links)
• Estimating causal effects of community health financing via principal stratification (Q6088753) (← links)