The following pages link to (Q5361314):
Displaying 45 items.
- The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method (Q144293) (← links)
- Theoretical properties of quasi-stationary Monte Carlo methods (Q670746) (← links)
- Two-stage Metropolis-Hastings for tall data (Q724596) (← links)
- Piecewise deterministic Markov processes for continuous-time Monte Carlo (Q1630397) (← links)
- Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains (Q1642417) (← links)
- Perturbation theory for Markov chains via Wasserstein distance (Q1708977) (← links)
- Efficient MCMC for Gibbs random fields using pre-computation (Q1711571) (← links)
- Efficient strategy for the Markov chain Monte Carlo in high-dimension with heavy-tailed target probability distribution (Q1750100) (← links)
- Principles of experimental design for big data analysis (Q1750251) (← links)
- Joining and splitting models with Markov melding (Q1757664) (← links)
- Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation (Q1790387) (← links)
- A sample covariance-based approach for spatial binary data (Q2084418) (← links)
- Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors (Q2195831) (← links)
- Subsampling sequential Monte Carlo for static Bayesian models (Q2209734) (← links)
- Subsampling MCMC -- an introduction for the survey statistician (Q2316968) (← links)
- Irreversible samplers from jump and continuous Markov processes (Q2329758) (← links)
- Informed sub-sampling MCMC: approximate Bayesian inference for large datasets (Q2329777) (← links)
- Control variates for stochastic gradient MCMC (Q2329787) (← links)
- Adaptive schemes for piecewise deterministic Monte Carlo algorithms (Q2676925) (← links)
- Stochastic gradient Langevin dynamics with adaptive drifts (Q3390482) (← links)
- (Q4558144) (← links)
- (Q4614101) (← links)
- (Q4633024) (← links)
- (Q4969066) (← links)
- (Q4969130) (← links)
- (Q4969253) (← links)
- Distributed Bayesian Inference in Linear Mixed-Effects Models (Q5066445) (← links)
- The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC (Q5066474) (← links)
- An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model (Q5066475) (← links)
- (Q5214185) (← links)
- Speeding Up MCMC by Efficient Data Subsampling (Q5231510) (← links)
- Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo (Q5856684) (← links)
- Stochastic Gradient Markov Chain Monte Carlo (Q5857155) (← links)
- Distributed computation for marginal likelihood based model choice (Q6122039) (← links)
- When ecological individual heterogeneity models and large data collide: an importance sampling approach (Q6138625) (← links)
- Divide-and-conquer Metropolis-Hastings samplers with matched samples (Q6138717) (← links)
- Improving sampling accuracy of stochastic gradient MCMC methods via non-uniform subsampling of gradients (Q6160667) (← links)
- Lévy Langevin Monte Carlo (Q6190659) (← links)
- Bayes in action in deep learning and dictionary learning (Q6204920) (← links)
- Computing Bayes: from then `til now (Q6540226) (← links)
- Approximating Bayes in the 21st century (Q6540227) (← links)
- Emerging directions in Bayesian computation (Q6540230) (← links)
- A langevinized ensemble Kalman filter for large-scale dynamic learning (Q6554553) (← links)
- Bayesian Inference in Common Microeconometric Models With Massive Datasets by Double Marginalized Subsampling (Q6620968) (← links)
- Bounding Wasserstein Distance with Couplings (Q6651401) (← links)
