The following pages link to Bayesian Analysis (Q61838):
Displaying 50 items.
- A Bayesian nonparametric latent space approach to modeling evolving communities in dynamic networks (Q6122015) (← links)
- Reproducible model selection using bagged posteriors (Q6122016) (← links)
- A comparison of learning rate selection methods in generalized Bayesian inference (Q6122017) (← links)
- Bayesian experimental design without posterior calculations: an adversarial approach (Q6122019) (← links)
- Efficient emulation of computer models utilising multiple known boundaries of differing dimension (Q6122020) (← links)
- Bayesian inference for the weights in logarithmic pooling (Q6122021) (← links)
- On quasi-infinitely divisible random measures (Q6122022) (← links)
- Evaluating sensitivity to the stick-breaking prior in Bayesian nonparametrics (with discussion) (Q6122023) (← links)
- Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates (Q6122024) (← links)
- Informative priors for the consensus ranking in the Bayesian Mallows model (Q6122026) (← links)
- Normal approximation for Bayesian mixed effects binomial regression models (Q6122028) (← links)
- Bayes linear Bayes networks with an application to prognostic indices (Q6122030) (← links)
- A Bayesian approach for partial Gaussian graphical models with sparsity (Q6122031) (← links)
- Bayesian uncertainty quantification for low-rank matrix completion (Q6122033) (← links)
- A multi-armed Bayesian ordinal outcome utility-based sequential trial with a pairwise null clustering prior (Q6122036) (← links)
- Bayesian approximations to hidden semi-Markov models for telemetric monitoring of physical activity (Q6122037) (← links)
- Bayesian spatial homogeneity pursuit of functional data: an application to the U.S. income distribution (Q6122038) (← links)
- Distributed computation for marginal likelihood based model choice (Q6122039) (← links)
- Causal inference under mis-specification: adjustment based on the propensity score (with discussion) (Q6122040) (← links)
- Data augmentation for Bayesian deep learning (Q6122055) (← links)
- The posterior predictive null (Q6122056) (← links)
- Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods (Q6122057) (← links)
- Posterior predictive checking for partially observed stochastic epidemic models (Q6122074) (← links)
- Bayesian learning of graph substructures (Q6122075) (← links)
- Comparing dependent undirected Gaussian networks (Q6122076) (← links)
- Adaptive variable selection for sequential prediction in multivariate dynamic models (Q6198360) (← links)
- The Median probability model and correlated variables (Q6198361) (← links)
- Bayesian causal inference in probit graphical models (Q6198362) (← links)
- Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo (Q6201421) (← links)
- Sequential Bayesian experimental design for implicit models via mutual information (Q6201423) (← links)
- A theoretical investigation of how evidence flows in Bayesian network meta-analysis of disconnected networks (Q6201424) (← links)
- Robust adaptive incorporation of historical control data in a randomized trial of external cooling to treat septic shock (Q6201428) (← links)
- Nonparametric Bayesian modeling and estimation of spatial correlation functions for global data (Q6201430) (← links)
- Bayesian multiple quantile regression for linear models using a score likelihood (Q6201431) (← links)
- Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution (Q6201432) (← links)
- Optional stopping with Bayes factors: a categorization and extension of folklore results, with an application to invariant situations (Q6201435) (← links)
- A Symmetric prior for multinomial probit models (Q6201436) (← links)
- Posterior consistency of factor dimensionality in high-dimensional sparse factor models (Q6202918) (← links)
- mBART: multidimensional monotone BART (Q6202919) (← links)
- On global-local shrinkage priors for count data (Q6202920) (← links)
- Concentration of posterior model probabilities and normalized \({L_0}\) criteria (Q6202921) (← links)
- Vector operations for accelerating expensive Bayesian computations - a tutorial guide (Q6202922) (← links)
- Bayesian prediction of jumps in large panels of time series data (Q6202925) (← links)
- Bayesian decision-theoretic design of experiments under an alternative model (Q6203241) (← links)
- Bayesian hierarchical stacking: some models are (somewhere) useful (Q6203242) (← links)
- High-dimensional Bayesian network classification with network global-local shrinkage priors (Q6203344) (← links)
- Semiparametric functional factor models with Bayesian rank selection (Q6203345) (← links)
- Nearest-neighbor mixture models for non-Gaussian spatial processes (Q6203346) (← links)
- Controlling the flexibility of non-Gaussian processes through shrinkage priors (Q6203348) (← links)
- Inducing high spatial correlation with randomly edge-weighted neighborhood graphs (Q6203350) (← links)
