The following pages link to Bayesian Analysis (Q61838):
Displaying 50 items.
- Automated parameter blocking for efficient Markov chain Monte Carlo sampling (Q1699668) (← links)
- Dynamic chain graph models for time series network data (Q1699671) (← links)
- Data-dependent posterior propriety of a Bayesian beta-binomial-logit model (Q1699672) (← links)
- Variational Bayes for functional data registration, smoothing, and prediction (Q1699674) (← links)
- High-dimensional Bayesian geostatistics (Q1699675) (← links)
- The scaled beta2 distribution as a robust prior for scales (Q1699677) (← links)
- A decision-theoretic comparison of treatments to resolve air leaks after lung surgery based on nonparametric modeling (Q1699679) (← links)
- Nonparametric goodness of fit via cross-validation Bayes factors (Q1699680) (← links)
- Bayesian mixture models with focused clustering for mixed ordinal and nominal data (Q1699682) (← links)
- Optimal robustness results for relative belief inferences and the relationship to prior-data conflict (Q1699683) (← links)
- A generalised semiparametric Bayesian Fay-Herriot model for small area estimation shrinking both means and variances (Q1699684) (← links)
- Selection of tuning parameters, solution paths and standard errors for Bayesian Lassos (Q1699685) (← links)
- Adaptive shrinkage in Pólya tree type models (Q1699686) (← links)
- A Bayes interpretation of stacking for \(\mathcal{M}\)-complete and \(\mathcal{M}\)-open settings (Q1699687) (← links)
- Latent class mixture models of treatment effect heterogeneity (Q1699689) (← links)
- Intrinsic Bayesian analysis for occupancy models (Q1699692) (← links)
- Bayesian analysis of boundary and near-boundary evidence in econometric models with reduced rank (Q1699694) (← links)
- A Bayesian nonparametric approach to testing for dependence between random variables (Q1699695) (← links)
- Joint species distribution modeling: dimension reduction using Dirichlet processes (Q1699697) (← links)
- Variable selection in seemingly unrelated regressions with random predictors (Q1699699) (← links)
- Approximate Bayesian inference in semiparametric copula models (Q1699701) (← links)
- Fast simulation of hyperplane-truncated multivariate normal distributions (Q1699703) (← links)
- Bayesian variable selection regression of multivariate responses for group data (Q1699706) (← links)
- Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it (Q1699707) (← links)
- The horseshoe+ estimator of ultra-sparse signals (Q1699709) (← links)
- Asymptotic optimality of one-group shrinkage priors in sparse high-dimensional problems (Q1699710) (← links)
- Bayesian analysis of the stationary MAP\(_2\) (Q1699712) (← links)
- Marginal pseudo-likelihood learning of discrete Markov network structures (Q1699714) (← links)
- Correction to: ``Posterior consistency of Bayesian quantile regression based on the misspecified asymmetric Laplace density'' (Q1699715) (← links)
- Uncertainty quantification for the horseshoe (with discussion) (Q1699717) (← links)
- Deep learning: a Bayesian perspective (Q1699718) (← links)
- Dynamic Bayesian influenza forecasting in the United States with hierarchical discrepancy (with discussion) (Q1738132) (← links)
- Modeling population structure under hierarchical Dirichlet processes (Q1738134) (← links)
- Bayesian effect fusion for categorical predictors (Q1738136) (← links)
- Variational message passing for elaborate response regression models (Q1738138) (← links)
- Control of type I error rates in Bayesian sequential designs (Q1738139) (← links)
- A Bayesian approach to statistical shape analysis via the projected normal distribution (Q1738140) (← links)
- Efficient Bayesian regularization for graphical model selection (Q1738143) (← links)
- Analysis of the maximal a posteriori partition in the Gaussian Dirichlet process mixture model (Q1738145) (← links)
- Constrained Bayesian optimization with noisy experiments (Q1738149) (← links)
- Bayes factor testing of multiple intraclass correlations (Q1738150) (← links)
- A Bayesian nonparametric spiked process prior for dynamic model selection (Q1738153) (← links)
- Fast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithm (Q1738154) (← links)
- Efficient acquisition rules for model-based approximate Bayesian computation (Q1738156) (← links)
- Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil (Q1752000) (← links)
- Bayesian inference and testing of group differences in brain networks (Q1752001) (← links)
- Approximation of Bayesian predictive \(p\)-values with regression ABC (Q1752002) (← links)
- Latent marked Poisson process with applications to object segmentation (Q1752006) (← links)
- Real-time Bayesian parameter estimation for item response models (Q1752008) (← links)
- Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo (Q1752009) (← links)
