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.

• Gibbs samplers for logistic item response models via the Pólya-gamma distribution: a computationally efficient data-augmentation strategy (Q2331168) (← links)
• Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space (Q2358919) (← links)
• Rejoinder on: ``Some recent work on multivariate Gaussian Markov random fields'' (Q2414874) (← links)
• Coupling and convergence for Hamiltonian Monte Carlo (Q2657908) (← links)
• Fully and empirical Bayes approaches to estimating copula-based models for bivariate mixed outcomes using Hamiltonian Monte Carlo (Q2666034) (← links)
• Instantaneous turbulent kinetic energy modelling based on Lagrangian stochastic approach in CFD and application to wind energy (Q2672736) (← links)
• Bayesian physics informed neural networks for real-world nonlinear dynamical systems (Q2679296) (← links)
• Direct sampling with a step function (Q2680305) (← links)
• Augmented beta rectangular regression models: a Bayesian perspective (Q2792773) (← links)
• An Application of Computable Distributions to the Semantics of Probabilistic Programming Languages (Q2802487) (← links)
• Adaptive step size selection for Hessian-based manifold Langevin samplers (Q2821480) (← links)
• (Q2934032) (redirect page) (← links)
• Sampling Constrained Probability Distributions Using Spherical Augmentation (Q2954274) (← links)
• Transport Map Accelerated Markov Chain Monte Carlo (Q3176240) (← links)
• Probabilistic Programming Language and its Incremental Evaluation (Q3179303) (← links)
• Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model (Q3389296) (← links)
• Efficient Adaptive MCMC Through Precision Estimation (Q3391170) (← links)
• Noisy Hamiltonian Monte Carlo for Doubly Intractable Distributions (Q3391199) (← links)
• Dynamically Rescaled Hamiltonian Monte Carlo for Bayesian Hierarchical Models (Q3391260) (← links)
• (Q4558473) (← links)
• On the application of improved symplectic integrators in Hamiltonian Monte Carlo (Q4563427) (← links)
• MODEL SELECTION AND AVERAGING OF HEALTH COSTS IN EPISODE TREATMENT GROUPS (Q4563790) (← links)
• Some recent developments in Markov Chain Monte Carlo for cointegrated time series (Q4606423) (← links)
• Random Sampling from Joint Probability Distributions Defined in a Bayesian Framework (Q4613508) (← links)
• Bayesian inference on structural impulse response functions (Q4629405) (← links)
• Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods (Q4631607) (← links)
• (Q4633024) (← links)
• Estimating the DINA model parameters using the No‐U‐Turn Sampler (Q4634698) (← links)
• (Q4637029) (← links)
• (Q4637062) (← links)
• (Q4637063) (← links)
• A beta-inflated mean regression model with mixed effects for fractional response variables (Q4960657) (← links)
• (Q4969156) (← links)
• Unbiased Hamiltonian Monte Carlo with couplings (Q4973616) (← links)
• (Q4999019) (← links)
• Stochastic approximation Hamiltonian Monte Carlo (Q5033464) (← links)
• Bayesian estimation of a flexible bifactor generalized partial credit model to survey data (Q5034180) (← links)
• Bayesian regression model for recurrent event data with event-varying covariate effects and event effect (Q5035734) (← links)
• Investigating precipitation extremes in South Carolina with focus on the state's October 2015 precipitation event (Q5036505) (← links)
• Continualization of Probabilistic Programs With Correction (Q5041102) (← links)
• Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems (Q5044972) (← links)
• NEW LOSS RESERVE MODELS WITH PERSISTENCE EFFECTS TO FORECAST TRAPEZOIDAL LOSSES IN RUN-OFF TRIANGLES (Q5045342) (← links)
• Simulations of Social Distancing Scenarios and Analysis of Strategies to Predict the Spread of COVID-19 (Q5048318) (← links)
• (Q5053222) (← links)
• (Q5053231) (← links)
• (Q5054629) (← links)
• Connecting and Contrasting the Bayes Factor and a Modified ROPE Procedure for Testing Interval Null Hypotheses (Q5056973) (← links)
• Learning Hamiltonian Monte Carlo in R (Q5056999) (← links)
• Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors (Q5057082) (← links)
• Bayesian Kernel Two-Sample Testing (Q5057251) (← links)